from pyecharts import options as opts
from pyecharts.charts import Map
from pyecharts.globals import ChartType,SymbolType
import pandas as pd
df=pd.read_csv("zrk.csv")
df
| Country | year_2000 | year_2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | year_2018 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Aruba | 9.085300e+04 | 9.289800e+04 | 9.499200e+04 | 9.701700e+04 | 9.873700e+04 | 1.000310e+05 | 1.008340e+05 | 1.012220e+05 | 1.013580e+05 | 1.014550e+05 | 1.016690e+05 | 1.020460e+05 | 1.025600e+05 | 1.031590e+05 | 1.037740e+05 | 1.043410e+05 | 1.048720e+05 | 1.053660e+05 | 1.058450e+05 |
| 1 | Afghanistan | 2.077995e+07 | 2.160699e+07 | 2.260077e+07 | 2.368087e+07 | 2.472668e+07 | 2.565428e+07 | 2.643305e+07 | 2.710054e+07 | 2.772228e+07 | 2.839481e+07 | 2.918551e+07 | 3.011741e+07 | 3.116138e+07 | 3.226959e+07 | 3.337079e+07 | 3.441360e+07 | 3.538313e+07 | 3.629640e+07 | 3.717239e+07 |
| 2 | Angola | 1.639547e+07 | 1.694575e+07 | 1.751942e+07 | 1.812148e+07 | 1.875814e+07 | 1.943360e+07 | 2.014990e+07 | 2.090536e+07 | 2.169563e+07 | 2.251428e+07 | 2.335625e+07 | 2.422066e+07 | 2.510793e+07 | 2.601578e+07 | 2.694178e+07 | 2.788438e+07 | 2.884248e+07 | 2.981675e+07 | 3.080976e+07 |
| 3 | Albania | 3.089027e+06 | 3.060173e+06 | 3.051010e+06 | 3.039616e+06 | 3.026939e+06 | 3.011487e+06 | 2.992547e+06 | 2.970017e+06 | 2.947314e+06 | 2.927519e+06 | 2.913021e+06 | 2.905195e+06 | 2.900401e+06 | 2.895092e+06 | 2.889104e+06 | 2.880703e+06 | 2.876101e+06 | 2.873457e+06 | 2.866376e+06 |
| 4 | Andorra | 6.539000e+04 | 6.734100e+04 | 7.004900e+04 | 7.318200e+04 | 7.624400e+04 | 7.886700e+04 | 8.099300e+04 | 8.268400e+04 | 8.386200e+04 | 8.446300e+04 | 8.444900e+04 | 8.374700e+04 | 8.242700e+04 | 8.077400e+04 | 7.921300e+04 | 7.801100e+04 | 7.729700e+04 | 7.700100e+04 | 7.700600e+04 |
| 5 | Arab World | 2.823442e+08 | 2.884322e+08 | 2.946652e+08 | 3.011138e+08 | 3.078628e+08 | 3.149658e+08 | 3.224528e+08 | 3.302907e+08 | 3.383960e+08 | 3.466292e+08 | 3.548900e+08 | 3.631587e+08 | 3.714435e+08 | 3.797057e+08 | 3.879077e+08 | 3.960283e+08 | 4.040244e+08 | 4.118990e+08 | 4.197906e+08 |
| 6 | United Arab Emirates | 3.134062e+06 | 3.302719e+06 | 3.478777e+06 | 3.711932e+06 | 4.068570e+06 | 4.588225e+06 | 5.300174e+06 | 6.168838e+06 | 7.089487e+06 | 7.917372e+06 | 8.549988e+06 | 8.946777e+06 | 9.141596e+06 | 9.197910e+06 | 9.214175e+06 | 9.262900e+06 | 9.360980e+06 | 9.487203e+06 | 9.630959e+06 |
| 7 | Argentina | 3.687079e+07 | 3.727565e+07 | 3.768175e+07 | 3.808787e+07 | 3.849197e+07 | 3.889293e+07 | 3.928988e+07 | 3.968430e+07 | 4.008016e+07 | 4.048279e+07 | 4.078845e+07 | 4.126149e+07 | 4.173327e+07 | 4.220294e+07 | 4.266950e+07 | 4.313197e+07 | 4.359037e+07 | 4.404481e+07 | 4.449450e+07 |
| 8 | Armenia | 3.069591e+06 | 3.050687e+06 | 3.033978e+06 | 3.017932e+06 | 3.000720e+06 | 2.981269e+06 | 2.958307e+06 | 2.932618e+06 | 2.907618e+06 | 2.888092e+06 | 2.877319e+06 | 2.876538e+06 | 2.884229e+06 | 2.897584e+06 | 2.912403e+06 | 2.925553e+06 | 2.936146e+06 | 2.944809e+06 | 2.951776e+06 |
| 9 | American Samoa | 5.782100e+04 | 5.849400e+04 | 5.908000e+04 | 5.950400e+04 | 5.968100e+04 | 5.956200e+04 | 5.910700e+04 | 5.836500e+04 | 5.749200e+04 | 5.668300e+04 | 5.607900e+04 | 5.575900e+04 | 5.566700e+04 | 5.571300e+04 | 5.579100e+04 | 5.581200e+04 | 5.574100e+04 | 5.562000e+04 | 5.546500e+04 |
| 10 | Antigua and Barbuda | 7.601600e+04 | 7.721200e+04 | 7.829500e+04 | 7.930000e+04 | 8.033600e+04 | 8.146500e+04 | 8.270400e+04 | 8.402600e+04 | 8.539700e+04 | 8.674600e+04 | 8.802800e+04 | 8.925300e+04 | 9.040900e+04 | 9.151600e+04 | 9.256200e+04 | 9.356600e+04 | 9.452700e+04 | 9.542600e+04 | 9.628600e+04 |
| 11 | Australia | 1.915300e+07 | 1.941300e+07 | 1.965140e+07 | 1.989540e+07 | 2.012740e+07 | 2.039480e+07 | 2.069790e+07 | 2.082760e+07 | 2.124920e+07 | 2.169170e+07 | 2.203175e+07 | 2.234002e+07 | 2.273346e+07 | 2.312813e+07 | 2.347569e+07 | 2.381600e+07 | 2.419091e+07 | 2.460186e+07 | 2.499237e+07 |
| 12 | Austria | 8.011566e+06 | 8.042293e+06 | 8.081957e+06 | 8.121423e+06 | 8.171966e+06 | 8.227829e+06 | 8.268641e+06 | 8.295487e+06 | 8.321496e+06 | 8.343323e+06 | 8.363404e+06 | 8.391643e+06 | 8.429991e+06 | 8.479823e+06 | 8.546356e+06 | 8.642699e+06 | 8.736668e+06 | 8.797566e+06 | 8.847037e+06 |
| 13 | Azerbaijan | 8.048600e+06 | 8.111200e+06 | 8.171950e+06 | 8.234100e+06 | 8.306500e+06 | 8.391850e+06 | 8.484550e+06 | 8.581300e+06 | 8.763400e+06 | 8.947243e+06 | 9.054332e+06 | 9.173082e+06 | 9.295784e+06 | 9.416801e+06 | 9.535079e+06 | 9.649341e+06 | 9.757812e+06 | 9.854033e+06 | 9.942334e+06 |
| 14 | Burundi | 6.378871e+06 | 6.525545e+06 | 6.704113e+06 | 6.909154e+06 | 7.131693e+06 | 7.364862e+06 | 7.607849e+06 | 7.862214e+06 | 8.126102e+06 | 8.397668e+06 | 8.675602e+06 | 8.958406e+06 | 9.245988e+06 | 9.540289e+06 | 9.844297e+06 | 1.016003e+07 | 1.048800e+07 | 1.082702e+07 | 1.117538e+07 |
| 15 | Belgium | 1.025125e+07 | 1.028657e+07 | 1.033278e+07 | 1.037613e+07 | 1.042114e+07 | 1.047862e+07 | 1.054796e+07 | 1.062570e+07 | 1.070997e+07 | 1.079649e+07 | 1.089559e+07 | 1.103826e+07 | 1.110693e+07 | 1.115941e+07 | 1.120906e+07 | 1.127420e+07 | 1.133142e+07 | 1.137516e+07 | 1.142207e+07 |
| 16 | Benin | 6.865951e+06 | 7.076733e+06 | 7.295394e+06 | 7.520555e+06 | 7.750004e+06 | 7.982225e+06 | 8.216897e+06 | 8.454793e+06 | 8.696921e+06 | 8.944708e+06 | 9.199259e+06 | 9.460830e+06 | 9.729248e+06 | 1.000459e+07 | 1.028684e+07 | 1.057595e+07 | 1.087207e+07 | 1.117520e+07 | 1.148505e+07 |
| 17 | Burkina Faso | 1.160794e+07 | 1.194459e+07 | 1.229310e+07 | 1.265462e+07 | 1.303057e+07 | 1.342193e+07 | 1.382918e+07 | 1.425202e+07 | 1.468972e+07 | 1.514110e+07 | 1.560522e+07 | 1.608191e+07 | 1.657125e+07 | 1.707278e+07 | 1.758602e+07 | 1.811062e+07 | 1.864638e+07 | 1.919328e+07 | 1.975154e+07 |
| 18 | Bangladesh | 1.276579e+08 | 1.300887e+08 | 1.324781e+08 | 1.347916e+08 | 1.369864e+08 | 1.390355e+08 | 1.409212e+08 | 1.426604e+08 | 1.443042e+08 | 1.459248e+08 | 1.475754e+08 | 1.492738e+08 | 1.510078e+08 | 1.527647e+08 | 1.545202e+08 | 1.562563e+08 | 1.579708e+08 | 1.596706e+08 | 1.613560e+08 |
| 19 | Bulgaria | 8.170172e+06 | 8.009142e+06 | 7.837161e+06 | 7.775327e+06 | 7.716860e+06 | 7.658972e+06 | 7.601022e+06 | 7.545338e+06 | 7.492561e+06 | 7.444443e+06 | 7.395599e+06 | 7.348328e+06 | 7.305888e+06 | 7.265115e+06 | 7.223938e+06 | 7.177991e+06 | 7.127822e+06 | 7.075947e+06 | 7.024216e+06 |
| 20 | Bahrain | 6.646110e+05 | 6.975450e+05 | 7.351460e+05 | 7.787080e+05 | 8.298440e+05 | 8.891640e+05 | 9.584180e+05 | 1.035919e+06 | 1.114641e+06 | 1.185076e+06 | 1.240860e+06 | 1.278151e+06 | 1.299943e+06 | 1.315029e+06 | 1.336075e+06 | 1.371851e+06 | 1.425791e+06 | 1.494074e+06 | 1.569439e+06 |
| 21 | Bahamas, The | 2.980510e+05 | 3.026180e+05 | 3.076600e+05 | 3.131290e+05 | 3.188940e+05 | 3.248590e+05 | 3.310330e+05 | 3.373890e+05 | 3.436810e+05 | 3.496040e+05 | 3.549420e+05 | 3.595770e+05 | 3.635840e+05 | 3.671680e+05 | 3.706330e+05 | 3.742060e+05 | 3.779310e+05 | 3.817610e+05 | 3.856400e+05 |
| 22 | Bosnia and Herzegovina | 3.751176e+06 | 3.755512e+06 | 3.759387e+06 | 3.762173e+06 | 3.764194e+06 | 3.765331e+06 | 3.765424e+06 | 3.762786e+06 | 3.754271e+06 | 3.735938e+06 | 3.705472e+06 | 3.661175e+06 | 3.604972e+06 | 3.542605e+06 | 3.482104e+06 | 3.429361e+06 | 3.386267e+06 | 3.351527e+06 | 3.323929e+06 |
| 23 | Belarus | 9.979610e+06 | 9.928549e+06 | 9.865548e+06 | 9.796749e+06 | 9.730146e+06 | 9.663915e+06 | 9.604924e+06 | 9.560953e+06 | 9.527985e+06 | 9.506765e+06 | 9.490583e+06 | 9.473172e+06 | 9.464495e+06 | 9.465997e+06 | 9.474511e+06 | 9.489616e+06 | 9.501534e+06 | 9.498264e+06 | 9.485386e+06 |
| 24 | Belize | 2.473150e+05 | 2.550630e+05 | 2.623780e+05 | 2.694250e+05 | 2.765040e+05 | 2.838000e+05 | 2.913290e+05 | 2.990250e+05 | 3.068230e+05 | 3.146550e+05 | 3.224640e+05 | 3.302370e+05 | 3.380000e+05 | 3.457150e+05 | 3.533660e+05 | 3.609330e+05 | 3.684000e+05 | 3.757690e+05 | 3.830710e+05 |
| 25 | Bermuda | 6.183300e+04 | 6.250400e+04 | 6.291200e+04 | 6.332500e+04 | 6.374000e+04 | 6.415400e+04 | 6.452300e+04 | 6.488800e+04 | 6.527300e+04 | 6.563600e+04 | 6.512400e+04 | 6.456400e+04 | 6.479800e+04 | 6.500100e+04 | 6.513900e+04 | 6.523900e+04 | 6.455500e+04 | 6.387400e+04 | 6.396800e+04 |
| 26 | Bolivia | 8.418264e+06 | 8.580235e+06 | 8.742814e+06 | 8.905823e+06 | 9.069039e+06 | 9.232306e+06 | 9.395446e+06 | 9.558439e+06 | 9.721454e+06 | 9.884781e+06 | 1.004859e+07 | 1.021295e+07 | 1.037768e+07 | 1.054238e+07 | 1.070652e+07 | 1.086973e+07 | 1.103181e+07 | 1.119285e+07 | 1.135314e+07 |
| 27 | Brazil | 1.747903e+08 | 1.771961e+08 | 1.795375e+08 | 1.818092e+08 | 1.840065e+08 | 1.861271e+08 | 1.881674e+08 | 1.901304e+08 | 1.920304e+08 | 1.938865e+08 | 1.957136e+08 | 1.975145e+08 | 1.992873e+08 | 2.010359e+08 | 2.027637e+08 | 2.044718e+08 | 2.061631e+08 | 2.078338e+08 | 2.094693e+08 |
| 28 | Barbados | 2.715150e+05 | 2.725000e+05 | 2.734250e+05 | 2.743290e+05 | 2.752840e+05 | 2.763230e+05 | 2.774770e+05 | 2.787000e+05 | 2.799460e+05 | 2.811040e+05 | 2.821310e+05 | 2.829870e+05 | 2.837000e+05 | 2.842960e+05 | 2.848250e+05 | 2.853240e+05 | 2.857960e+05 | 2.862330e+05 | 2.866410e+05 |
| 29 | Brunei Darussalam | 3.331650e+05 | 3.400340e+05 | 3.467820e+05 | 3.532930e+05 | 3.594330e+05 | 3.651140e+05 | 3.702630e+05 | 3.749650e+05 | 3.794210e+05 | 3.839060e+05 | 3.886460e+05 | 3.936880e+05 | 3.989890e+05 | 4.044210e+05 | 4.097690e+05 | 4.149070e+05 | 4.198000e+05 | 4.244730e+05 | 4.289620e+05 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 234 | Latin America & the Caribbean (IDA & IBRD coun... | 5.049822e+08 | 5.123009e+08 | 5.194821e+08 | 5.265477e+08 | 5.335300e+08 | 5.404540e+08 | 5.473231e+08 | 5.541333e+08 | 5.608918e+08 | 5.676057e+08 | 5.741714e+08 | 5.808566e+08 | 5.874912e+08 | 5.940631e+08 | 6.005559e+08 | 6.069570e+08 | 6.132582e+08 | 6.194602e+08 | 6.255697e+08 |
| 235 | Timor-Leste | 8.843660e+05 | 9.012140e+05 | 9.226940e+05 | 9.471080e+05 | 9.718930e+05 | 9.951350e+05 | 1.016432e+06 | 1.036392e+06 | 1.055431e+06 | 1.074277e+06 | 1.093523e+06 | 1.113151e+06 | 1.132994e+06 | 1.153295e+06 | 1.174331e+06 | 1.196302e+06 | 1.219288e+06 | 1.243261e+06 | 1.267972e+06 |
| 236 | Middle East & North Africa (IDA & IBRD countries) | 2.763575e+08 | 2.812512e+08 | 2.861890e+08 | 2.911887e+08 | 2.962661e+08 | 3.014351e+08 | 3.067031e+08 | 3.120789e+08 | 3.175768e+08 | 3.232119e+08 | 3.289917e+08 | 3.349318e+08 | 3.410240e+08 | 3.472225e+08 | 3.534639e+08 | 3.597055e+08 | 3.659094e+08 | 3.720920e+08 | 3.783276e+08 |
| 237 | Tonga | 9.797300e+04 | 9.848700e+04 | 9.902200e+04 | 9.958900e+04 | 1.002180e+05 | 1.009050e+05 | 1.017060e+05 | 1.025810e+05 | 1.033790e+05 | 1.038900e+05 | 1.039860e+05 | 1.035620e+05 | 1.027370e+05 | 1.017680e+05 | 1.010280e+05 | 1.007810e+05 | 1.011330e+05 | 1.019980e+05 | 1.031970e+05 |
| 238 | South Asia (IDA & IBRD) | 1.390946e+09 | 1.416823e+09 | 1.442644e+09 | 1.468324e+09 | 1.493758e+09 | 1.518862e+09 | 1.543611e+09 | 1.568003e+09 | 1.592011e+09 | 1.615610e+09 | 1.638793e+09 | 1.661534e+09 | 1.683747e+09 | 1.705772e+09 | 1.727641e+09 | 1.749417e+09 | 1.771167e+09 | 1.792836e+09 | 1.814389e+09 |
| 239 | Sub-Saharan Africa (IDA & IBRD countries) | 6.653276e+08 | 6.829561e+08 | 7.010662e+08 | 7.197162e+08 | 7.389833e+08 | 7.589247e+08 | 7.795668e+08 | 8.009085e+08 | 8.229455e+08 | 8.456552e+08 | 8.690251e+08 | 8.930462e+08 | 9.177270e+08 | 9.430411e+08 | 9.689598e+08 | 9.954585e+08 | 1.022527e+09 | 1.050154e+09 | 1.078307e+09 |
| 240 | Trinidad and Tobago | 1.267153e+06 | 1.271632e+06 | 1.277213e+06 | 1.283559e+06 | 1.290123e+06 | 1.296502e+06 | 1.302561e+06 | 1.308451e+06 | 1.314443e+06 | 1.320930e+06 | 1.328147e+06 | 1.336178e+06 | 1.344817e+06 | 1.353700e+06 | 1.362342e+06 | 1.370328e+06 | 1.377564e+06 | 1.384072e+06 | 1.389858e+06 |
| 241 | Tunisia | 9.708350e+06 | 9.793903e+06 | 9.871251e+06 | 9.945277e+06 | 1.002228e+07 | 1.010677e+07 | 1.020121e+07 | 1.030473e+07 | 1.041443e+07 | 1.052569e+07 | 1.063524e+07 | 1.074188e+07 | 1.084700e+07 | 1.095295e+07 | 1.106320e+07 | 1.117995e+07 | 1.130395e+07 | 1.143344e+07 | 1.156520e+07 |
| 242 | Turkey | 6.324019e+07 | 6.419224e+07 | 6.514537e+07 | 6.608940e+07 | 6.701093e+07 | 6.790347e+07 | 6.875681e+07 | 6.958185e+07 | 7.041860e+07 | 7.132140e+07 | 7.232699e+07 | 7.344386e+07 | 7.465302e+07 | 7.592856e+07 | 7.723191e+07 | 7.852941e+07 | 7.982172e+07 | 8.110189e+07 | 8.231972e+07 |
| 243 | Tuvalu | 9.394000e+03 | 9.484000e+03 | 9.596000e+03 | 9.726000e+03 | 9.869000e+03 | 1.000000e+04 | 1.012000e+04 | 1.022100e+04 | 1.031400e+04 | 1.042400e+04 | 1.053000e+04 | 1.063300e+04 | 1.073900e+04 | 1.085700e+04 | 1.097200e+04 | 1.109900e+04 | 1.122500e+04 | 1.137000e+04 | 1.150800e+04 |
| 244 | Tanzania | 3.349918e+07 | 3.438586e+07 | 3.533479e+07 | 3.633778e+07 | 3.737977e+07 | 3.845032e+07 | 3.954866e+07 | 4.068141e+07 | 4.185394e+07 | 4.307383e+07 | 4.434652e+07 | 4.567334e+07 | 4.705248e+07 | 4.848227e+07 | 4.995982e+07 | 5.148263e+07 | 5.305079e+07 | 5.466391e+07 | 5.631835e+07 |
| 245 | Uganda | 2.365017e+07 | 2.438897e+07 | 2.516726e+07 | 2.598055e+07 | 2.682130e+07 | 2.768458e+07 | 2.857148e+07 | 2.948634e+07 | 3.043174e+07 | 3.141110e+07 | 3.242817e+07 | 3.347692e+07 | 3.455917e+07 | 3.569525e+07 | 3.691215e+07 | 3.822545e+07 | 3.964751e+07 | 4.116246e+07 | 4.272314e+07 |
| 246 | Ukraine | 4.917585e+07 | 4.868386e+07 | 4.820250e+07 | 4.781295e+07 | 4.745160e+07 | 4.710515e+07 | 4.678775e+07 | 4.650935e+07 | 4.625820e+07 | 4.605330e+07 | 4.587070e+07 | 4.570610e+07 | 4.559330e+07 | 4.548960e+07 | 4.527195e+07 | 4.515403e+07 | 4.500464e+07 | 4.483114e+07 | 4.462252e+07 |
| 247 | Upper middle income | 2.317310e+09 | 2.337064e+09 | 2.355937e+09 | 2.374520e+09 | 2.392791e+09 | 2.410930e+09 | 2.428658e+09 | 2.445872e+09 | 2.463294e+09 | 2.481349e+09 | 2.499410e+09 | 2.518198e+09 | 2.537626e+09 | 2.557650e+09 | 2.577856e+09 | 2.597758e+09 | 2.617805e+09 | 2.637691e+09 | 2.655636e+09 |
| 248 | Uruguay | 3.319736e+06 | 3.325473e+06 | 3.326040e+06 | 3.323668e+06 | 3.321476e+06 | 3.321803e+06 | 3.325401e+06 | 3.331749e+06 | 3.340221e+06 | 3.349676e+06 | 3.359275e+06 | 3.368934e+06 | 3.378974e+06 | 3.389439e+06 | 3.400434e+06 | 3.412009e+06 | 3.424132e+06 | 3.436646e+06 | 3.449299e+06 |
| 249 | United States | 2.821624e+08 | 2.849690e+08 | 2.876252e+08 | 2.901079e+08 | 2.928053e+08 | 2.955166e+08 | 2.983799e+08 | 3.012312e+08 | 3.040940e+08 | 3.067715e+08 | 3.093261e+08 | 3.115800e+08 | 3.138742e+08 | 3.160577e+08 | 3.183864e+08 | 3.207427e+08 | 3.230713e+08 | 3.251471e+08 | 3.271674e+08 |
| 250 | Uzbekistan | 2.465040e+07 | 2.496445e+07 | 2.527185e+07 | 2.556765e+07 | 2.586435e+07 | 2.616700e+07 | 2.648825e+07 | 2.686800e+07 | 2.730280e+07 | 2.776740e+07 | 2.856240e+07 | 2.933940e+07 | 2.977450e+07 | 3.024320e+07 | 3.075770e+07 | 3.129890e+07 | 3.184790e+07 | 3.238860e+07 | 3.295540e+07 |
| 251 | St. Vincent and the Grenadines | 1.077840e+05 | 1.078960e+05 | 1.080970e+05 | 1.083260e+05 | 1.085120e+05 | 1.086140e+05 | 1.086030e+05 | 1.085180e+05 | 1.083930e+05 | 1.082870e+05 | 1.082550e+05 | 1.083160e+05 | 1.084350e+05 | 1.086220e+05 | 1.088610e+05 | 1.091480e+05 | 1.094590e+05 | 1.098270e+05 | 1.102100e+05 |
| 252 | Venezuela, RB | 2.419245e+07 | 2.464647e+07 | 2.510041e+07 | 2.555162e+07 | 2.599659e+07 | 2.643245e+07 | 2.685019e+07 | 2.724761e+07 | 2.763583e+07 | 2.803101e+07 | 2.843994e+07 | 2.888837e+07 | 2.936245e+07 | 2.978357e+07 | 3.004513e+07 | 3.008183e+07 | 2.984618e+07 | 2.939041e+07 | 2.887020e+07 |
| 253 | British Virgin Islands | 2.031100e+04 | 2.067500e+04 | 2.112900e+04 | 2.167200e+04 | 2.233400e+04 | 2.310700e+04 | 2.402300e+04 | 2.504700e+04 | 2.609700e+04 | 2.703900e+04 | 2.779400e+04 | 2.831900e+04 | 2.865000e+04 | 2.884700e+04 | 2.898900e+04 | 2.915200e+04 | 2.935500e+04 | 2.957700e+04 | 2.980200e+04 |
| 254 | Virgin Islands (U.S.) | 1.086420e+05 | 1.085490e+05 | 1.085100e+05 | 1.085060e+05 | 1.084670e+05 | 1.084540e+05 | 1.083710e+05 | 1.083390e+05 | 1.083990e+05 | 1.084050e+05 | 1.083580e+05 | 1.082920e+05 | 1.081910e+05 | 1.080440e+05 | 1.078840e+05 | 1.077100e+05 | 1.075100e+05 | 1.072680e+05 | 1.069770e+05 |
| 255 | Vietnam | 7.991041e+07 | 8.074250e+07 | 8.153441e+07 | 8.230166e+07 | 8.306282e+07 | 8.383266e+07 | 8.461754e+07 | 8.541959e+07 | 8.624341e+07 | 8.709225e+07 | 8.796765e+07 | 8.887156e+07 | 8.980249e+07 | 9.075347e+07 | 9.171460e+07 | 9.267708e+07 | 9.363872e+07 | 9.459664e+07 | 9.554040e+07 |
| 256 | Vanuatu | 1.849720e+05 | 1.892190e+05 | 1.939200e+05 | 1.989590e+05 | 2.041270e+05 | 2.092820e+05 | 2.143700e+05 | 2.194720e+05 | 2.247040e+05 | 2.302470e+05 | 2.362110e+05 | 2.426530e+05 | 2.494990e+05 | 2.566350e+05 | 2.638880e+05 | 2.711300e+05 | 2.783300e+05 | 2.855100e+05 | 2.926800e+05 |
| 257 | World | 6.115108e+09 | 6.194460e+09 | 6.273526e+09 | 6.352678e+09 | 6.432375e+09 | 6.512603e+09 | 6.593623e+09 | 6.675130e+09 | 6.757887e+09 | 6.840592e+09 | 6.922947e+09 | 7.004011e+09 | 7.086994e+09 | 7.170962e+09 | 7.255654e+09 | 7.340548e+09 | 7.426103e+09 | 7.510990e+09 | 7.594270e+09 |
| 258 | Samoa | 1.744540e+05 | 1.753920e+05 | 1.764070e+05 | 1.774840e+05 | 1.785900e+05 | 1.797270e+05 | 1.808760e+05 | 1.820460e+05 | 1.832630e+05 | 1.845560e+05 | 1.859490e+05 | 1.874690e+05 | 1.890880e+05 | 1.907170e+05 | 1.922210e+05 | 1.935130e+05 | 1.945350e+05 | 1.953520e+05 | 1.961300e+05 |
| 259 | Kosovo | 1.700000e+06 | 1.701154e+06 | 1.702310e+06 | 1.703466e+06 | 1.704622e+06 | 1.705780e+06 | 1.719536e+06 | 1.733404e+06 | 1.747383e+06 | 1.761474e+06 | 1.775680e+06 | 1.791000e+06 | 1.805200e+06 | 1.824100e+06 | 1.821800e+06 | 1.801800e+06 | 1.816200e+06 | 1.830700e+06 | 1.845300e+06 |
| 260 | Yemen, Rep. | 1.740907e+07 | 1.791837e+07 | 1.844369e+07 | 1.898500e+07 | 1.954010e+07 | 2.010741e+07 | 2.068765e+07 | 2.128252e+07 | 2.189215e+07 | 2.251646e+07 | 2.315486e+07 | 2.380759e+07 | 2.447318e+07 | 2.514711e+07 | 2.582348e+07 | 2.649789e+07 | 2.716821e+07 | 2.783482e+07 | 2.849869e+07 |
| 261 | South Africa | 4.496771e+07 | 4.557127e+07 | 4.615091e+07 | 4.671920e+07 | 4.729161e+07 | 4.788060e+07 | 4.848946e+07 | 4.911976e+07 | 4.977947e+07 | 5.047701e+07 | 5.121696e+07 | 5.200417e+07 | 5.283400e+07 | 5.368924e+07 | 5.454599e+07 | 5.538637e+07 | 5.620365e+07 | 5.700045e+07 | 5.777962e+07 |
| 262 | Zambia | 1.041594e+07 | 1.069219e+07 | 1.097170e+07 | 1.125674e+07 | 1.155064e+07 | 1.185625e+07 | 1.217351e+07 | 1.250296e+07 | 1.284853e+07 | 1.321514e+07 | 1.360598e+07 | 1.402319e+07 | 1.446512e+07 | 1.492650e+07 | 1.539975e+07 | 1.587936e+07 | 1.636351e+07 | 1.685369e+07 | 1.735182e+07 |
| 263 | Zimbabwe | 1.188148e+07 | 1.192391e+07 | 1.195429e+07 | 1.198222e+07 | 1.201991e+07 | 1.207670e+07 | 1.215549e+07 | 1.225592e+07 | 1.237955e+07 | 1.252697e+07 | 1.269772e+07 | 1.289432e+07 | 1.311513e+07 | 1.335036e+07 | 1.358668e+07 | 1.381463e+07 | 1.403039e+07 | 1.423674e+07 | 1.443902e+07 |
264 rows × 20 columns
def map_world() -> Map:
c = (
Map()
.add("世界人口数量", [list(z) for z in zip(df.Country , df.year_2001)], "world")
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(
title_opts=opts.TitleOpts(title="2001年世界人口数量地图"),
visualmap_opts=opts.VisualMapOpts(max_=2000000000,min_=1000000),
)
)
return c
map_world().render_notebook()
def map_world() -> Map:
c = (
Map()
.add("世界人口数量", [list(z) for z in zip(df.Country , df.year_2018)], "world")
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(
title_opts=opts.TitleOpts(title="2018年世界人口数量地图"),
visualmap_opts=opts.VisualMapOpts(max_=2000000000,min_=1000000),
)
)
return c
map_world().render_notebook()
import pandas as pd
df=pd.read_csv("rkzz.csv")
df
| Country | year_2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | year_2018 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Aruba | 2.225930 | 2.229056 | 2.109354 | 1.757353 | 1.302039 | 0.799546 | 0.384052 | 0.134268 | 0.095655 | 0.210709 | 0.370125 | 0.502430 | 0.582349 | 0.594397 | 0.544892 | 0.507618 | 0.469944 | 0.453576 |
| 1 | Afghanistan | 3.902806 | 4.496720 | 4.668361 | 4.321539 | 3.682732 | 2.990478 | 2.493842 | 2.268277 | 2.397021 | 2.746576 | 3.143126 | 3.407587 | 3.494589 | 3.355582 | 3.077084 | 2.778317 | 2.548347 | 2.384761 |
| 2 | Angola | 3.301198 | 3.329257 | 3.378811 | 3.453014 | 3.537557 | 3.619575 | 3.680635 | 3.710531 | 3.703878 | 3.671462 | 3.634159 | 3.597774 | 3.551950 | 3.497493 | 3.438851 | 3.378273 | 3.322081 | 3.276134 |
| 3 | Albania | -0.938470 | -0.299877 | -0.374149 | -0.417931 | -0.511790 | -0.630911 | -0.755719 | -0.767343 | -0.673894 | -0.496462 | -0.269017 | -0.165151 | -0.183211 | -0.207047 | -0.291206 | -0.159880 | -0.091972 | -0.246732 |
| 4 | Andorra | 2.939992 | 3.942573 | 4.375449 | 4.098923 | 3.382417 | 2.659984 | 2.066338 | 1.414648 | 0.714098 | -0.016577 | -0.834745 | -1.588730 | -2.025792 | -1.951470 | -1.529058 | -0.919470 | -0.383674 | 0.006493 |
| 5 | Arab World | 2.156237 | 2.161001 | 2.188472 | 2.241343 | 2.307180 | 2.377071 | 2.430732 | 2.453973 | 2.433025 | 2.383187 | 2.329922 | 2.281329 | 2.224341 | 2.160102 | 2.093418 | 2.019087 | 1.949024 | 1.915912 |
| 6 | United Arab Emirates | 5.241614 | 5.193473 | 6.487170 | 9.173909 | 12.020165 | 14.424641 | 15.177084 | 13.910249 | 11.044635 | 7.687055 | 4.536348 | 2.154163 | 0.614130 | 0.176677 | 0.527412 | 1.053281 | 1.339385 | 1.503897 |
| 7 | Argentina | 1.092079 | 1.083551 | 1.071994 | 1.055389 | 1.036281 | 1.015442 | 0.998859 | 0.992593 | 0.999545 | 0.752213 | 1.153059 | 1.136906 | 1.119109 | 1.099461 | 1.078001 | 1.057182 | 1.037134 | 1.015808 |
| 8 | Armenia | -0.617752 | -0.549218 | -0.530280 | -0.571957 | -0.650321 | -0.773190 | -0.872161 | -0.856135 | -0.673811 | -0.373712 | -0.027147 | 0.267013 | 0.461967 | 0.510123 | 0.450501 | 0.361431 | 0.294612 | 0.236306 |
| 9 | American Samoa | 1.157215 | 0.996827 | 0.715108 | 0.297017 | -0.199592 | -0.766843 | -1.263297 | -1.507059 | -1.417147 | -1.071293 | -0.572258 | -0.165132 | 0.082600 | 0.139905 | 0.037633 | -0.127294 | -0.217311 | -0.279066 |
| 10 | Antigua and Barbuda | 1.561104 | 1.392886 | 1.275438 | 1.297971 | 1.395564 | 1.509449 | 1.585831 | 1.618470 | 1.567334 | 1.467064 | 1.382009 | 1.286879 | 1.217000 | 1.136487 | 1.078838 | 1.021844 | 0.946557 | 0.897185 |
| 11 | Australia | 1.348358 | 1.220564 | 1.233997 | 1.159352 | 1.319790 | 1.475228 | 0.624678 | 2.004022 | 2.061045 | 1.555490 | 1.389527 | 1.745820 | 1.721151 | 1.491566 | 1.439217 | 1.561940 | 1.684523 | 1.574849 |
| 12 | Austria | 0.382799 | 0.491980 | 0.487134 | 0.620413 | 0.681267 | 0.494798 | 0.324147 | 0.313041 | 0.261953 | 0.240394 | 0.337081 | 0.455937 | 0.589387 | 0.781542 | 1.120993 | 1.081396 | 0.694621 | 0.560751 |
| 13 | Azerbaijan | 0.774766 | 0.746174 | 0.757651 | 0.875427 | 1.022266 | 1.098587 | 1.133855 | 2.099854 | 2.076148 | 1.189788 | 1.303001 | 1.328764 | 1.293447 | 1.248209 | 1.191210 | 1.117857 | 0.981262 | 0.892099 |
| 14 | Burundi | 2.273335 | 2.699674 | 3.012598 | 3.170145 | 3.217166 | 3.246017 | 3.288777 | 3.301310 | 3.287270 | 3.256067 | 3.207759 | 3.159742 | 3.133405 | 3.136852 | 3.156909 | 3.177016 | 3.181368 | 3.166773 |
| 15 | Belgium | 0.343951 | 0.448269 | 0.418642 | 0.432788 | 0.550056 | 0.659558 | 0.734331 | 0.789977 | 0.804600 | 0.913639 | 1.301003 | 0.620164 | 0.471340 | 0.443929 | 0.579446 | 0.506300 | 0.385228 | 0.411542 |
| 16 | Benin | 3.023780 | 3.043083 | 3.039675 | 3.005342 | 2.952384 | 2.897545 | 2.854086 | 2.823556 | 2.809302 | 2.806086 | 2.803718 | 2.797649 | 2.790718 | 2.782182 | 2.771714 | 2.761409 | 2.750056 | 2.734862 |
| 17 | Burkina Faso | 2.858869 | 2.875992 | 2.898432 | 2.927561 | 2.959188 | 2.989063 | 3.011816 | 3.024955 | 3.026450 | 3.019251 | 3.008982 | 2.997392 | 2.981606 | 2.961901 | 2.939463 | 2.915319 | 2.890851 | 2.867078 |
| 18 | Bangladesh | 1.886287 | 1.820070 | 1.731266 | 1.615198 | 1.484745 | 1.347130 | 1.226618 | 1.145653 | 1.116806 | 1.124803 | 1.144262 | 1.154948 | 1.156713 | 1.142595 | 1.117284 | 1.091300 | 1.070244 | 1.050045 |
| 19 | Bulgaria | -1.990632 | -2.170699 | -0.792114 | -0.754797 | -0.752977 | -0.759506 | -0.735282 | -0.701923 | -0.644281 | -0.658275 | -0.641229 | -0.579221 | -0.559647 | -0.568389 | -0.638069 | -0.701382 | -0.730443 | -0.733768 |
| 20 | Bahrain | 4.836512 | 5.250209 | 5.756702 | 6.360160 | 6.904396 | 7.500231 | 7.776023 | 7.324342 | 6.127453 | 4.599778 | 2.960981 | 1.690592 | 1.153830 | 1.587749 | 2.642471 | 3.856582 | 4.677987 | 4.921161 |
| 21 | Bahamas, The | 1.520667 | 1.652399 | 1.761997 | 1.824351 | 1.853248 | 1.882683 | 1.901850 | 1.847733 | 1.708718 | 1.515331 | 1.297394 | 1.108202 | 0.980915 | 0.939285 | 0.959409 | 0.990519 | 1.008312 | 1.010953 |
| 22 | Bosnia and Herzegovina | 0.115524 | 0.103128 | 0.074080 | 0.053705 | 0.030201 | 0.002470 | -0.070083 | -0.226552 | -0.489520 | -0.818828 | -1.202651 | -1.547013 | -1.745167 | -1.722562 | -1.526276 | -1.264581 | -1.031207 | -0.826855 |
| 23 | Belarus | -0.512967 | -0.636566 | -0.699809 | -0.682169 | -0.683006 | -0.612296 | -0.458848 | -0.345415 | -0.222961 | -0.170361 | -0.183624 | -0.091637 | 0.015869 | 0.089903 | 0.159301 | 0.125511 | -0.034421 | -0.135675 |
| 24 | Belize | 3.084775 | 2.827564 | 2.650385 | 2.593523 | 2.604448 | 2.618345 | 2.607397 | 2.574385 | 2.520577 | 2.451470 | 2.381908 | 2.323532 | 2.256884 | 2.188961 | 2.118800 | 2.047696 | 1.980529 | 1.924576 |
| 25 | Bermuda | 1.085181 | 0.652758 | 0.656473 | 0.655349 | 0.649514 | 0.575178 | 0.565690 | 0.593330 | 0.556126 | -0.780060 | -0.859898 | 0.362431 | 0.313281 | 0.212304 | 0.153518 | -1.048453 | -1.054914 | 0.147165 |
| 26 | Bolivia | 1.905767 | 1.877080 | 1.847323 | 1.816097 | 1.784255 | 1.751625 | 1.719933 | 1.691077 | 1.666111 | 1.643602 | 1.622459 | 1.600005 | 1.574598 | 1.544968 | 1.512924 | 1.480133 | 1.449235 | 1.421899 |
| 27 | Brazil | 1.366957 | 1.312744 | 1.257383 | 1.201294 | 1.145881 | 1.090197 | 1.037862 | 0.994312 | 0.961948 | 0.937957 | 0.915963 | 0.893531 | 0.873603 | 0.855792 | 0.838848 | 0.823748 | 0.807147 | 0.783848 |
| 28 | Barbados | 0.362123 | 0.338875 | 0.330075 | 0.347518 | 0.376718 | 0.416758 | 0.439789 | 0.446079 | 0.412798 | 0.364679 | 0.302946 | 0.251638 | 0.209861 | 0.185901 | 0.175042 | 0.165289 | 0.152789 | 0.142440 |
| 29 | Brunei Darussalam | 2.040775 | 1.965073 | 1.860140 | 1.723005 | 1.568184 | 1.400393 | 1.261912 | 1.181372 | 1.175132 | 1.227117 | 1.288981 | 1.337513 | 1.352257 | 1.313717 | 1.246081 | 1.172401 | 1.106999 | 1.051994 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 233 | Latin America & the Caribbean (IDA & IBRD coun... | 1.449283 | 1.401771 | 1.360111 | 1.326053 | 1.297765 | 1.271000 | 1.244269 | 1.219654 | 1.197000 | 1.156736 | 1.164328 | 1.142205 | 1.118636 | 1.092954 | 1.065859 | 1.038160 | 1.011331 | 0.986257 |
| 234 | Timor-Leste | 1.887174 | 2.355491 | 2.611548 | 2.583259 | 2.363269 | 2.117533 | 1.944700 | 1.820376 | 1.769866 | 1.775672 | 1.779014 | 1.766895 | 1.775938 | 1.807556 | 1.853651 | 1.903195 | 1.947068 | 1.968101 |
| 235 | Middle East & North Africa (IDA & IBRD countries) | 1.770805 | 1.755625 | 1.746995 | 1.743711 | 1.744701 | 1.747630 | 1.752761 | 1.761715 | 1.774404 | 1.788232 | 1.805565 | 1.818934 | 1.817606 | 1.797538 | 1.765814 | 1.724721 | 1.689647 | 1.675843 |
| 236 | Tonga | 0.523263 | 0.541749 | 0.570967 | 0.629610 | 0.683167 | 0.790682 | 0.856643 | 0.774912 | 0.493080 | 0.092363 | -0.408581 | -0.799814 | -0.947661 | -0.729801 | -0.244786 | 0.348664 | 0.851672 | 1.168658 |
| 237 | South Asia (IDA & IBRD) | 1.860381 | 1.822465 | 1.780090 | 1.732139 | 1.680574 | 1.629454 | 1.580221 | 1.531098 | 1.482363 | 1.434921 | 1.387697 | 1.336880 | 1.308090 | 1.282054 | 1.260453 | 1.243278 | 1.223397 | 1.202181 |
| 238 | Sub-Saharan Africa (IDA & IBRD countries) | 2.649595 | 2.651722 | 2.660240 | 2.677034 | 2.698495 | 2.719919 | 2.737638 | 2.751491 | 2.759570 | 2.763525 | 2.764139 | 2.763665 | 2.758347 | 2.748419 | 2.734757 | 2.719155 | 2.701850 | 2.680831 |
| 239 | Trinidad and Tobago | 0.352846 | 0.437925 | 0.495633 | 0.510087 | 0.493231 | 0.466246 | 0.451167 | 0.456901 | 0.492303 | 0.544870 | 0.602856 | 0.644464 | 0.658364 | 0.636369 | 0.584485 | 0.526659 | 0.471316 | 0.417170 |
| 240 | Tunisia | 0.877371 | 0.786654 | 0.747117 | 0.771255 | 0.839528 | 0.930114 | 1.009589 | 1.059001 | 1.062668 | 1.035408 | 0.997673 | 0.973861 | 0.972019 | 1.001546 | 1.049753 | 1.102996 | 1.139079 | 1.145828 |
| 241 | Turkey | 1.494230 | 1.473881 | 1.438721 | 1.384734 | 1.323138 | 1.248866 | 1.192794 | 1.195376 | 1.273892 | 1.400093 | 1.532401 | 1.632958 | 1.694203 | 1.701972 | 1.666052 | 1.632251 | 1.591059 | 1.490445 |
| 242 | Tuvalu | 0.953498 | 1.174018 | 1.345637 | 1.459582 | 1.318656 | 1.192857 | 0.993076 | 0.905777 | 1.060864 | 1.011749 | 0.973405 | 0.991960 | 1.092806 | 1.053654 | 1.150844 | 1.128842 | 1.283487 | 1.206414 |
| 243 | Tanzania | 2.612436 | 2.722266 | 2.799005 | 2.827154 | 2.823745 | 2.816487 | 2.823944 | 2.841470 | 2.872968 | 2.911864 | 2.948036 | 2.974888 | 2.993449 | 3.002104 | 3.002541 | 3.000523 | 2.995388 | 2.981674 |
| 244 | Uganda | 3.076051 | 3.141293 | 3.180443 | 3.184798 | 3.167952 | 3.153308 | 3.151819 | 3.155897 | 3.167520 | 3.186619 | 3.182882 | 3.181665 | 3.234465 | 3.352320 | 3.496089 | 3.652644 | 3.749875 | 3.721387 |
| 245 | Ukraine | -1.005495 | -0.993677 | -0.811436 | -0.758628 | -0.732791 | -0.676092 | -0.596805 | -0.541462 | -0.443932 | -0.397285 | -0.359480 | -0.247099 | -0.227705 | -0.479616 | -0.260806 | -0.331381 | -0.386283 | -0.466430 |
| 246 | Upper middle income | 0.852466 | 0.807525 | 0.788784 | 0.769442 | 0.758098 | 0.735296 | 0.708786 | 0.712319 | 0.732957 | 0.727887 | 0.751667 | 0.771505 | 0.789076 | 0.790034 | 0.772030 | 0.771703 | 0.759648 | 0.680328 |
| 247 | Uruguay | 0.172666 | 0.017049 | -0.071341 | -0.065973 | 0.009845 | 0.108256 | 0.190712 | 0.253958 | 0.282665 | 0.286155 | 0.287120 | 0.297574 | 0.309231 | 0.323865 | 0.339820 | 0.354674 | 0.364799 | 0.367503 |
| 248 | United States | 0.989741 | 0.927797 | 0.859482 | 0.925484 | 0.921713 | 0.964254 | 0.951055 | 0.945865 | 0.876651 | 0.829275 | 0.726014 | 0.733617 | 0.693255 | 0.734093 | 0.737335 | 0.723401 | 0.640459 | 0.619431 |
| 249 | Uzbekistan | 1.265969 | 1.223832 | 1.163675 | 1.153769 | 1.163350 | 1.220216 | 1.423475 | 1.605327 | 1.687341 | 2.822850 | 2.684016 | 1.472100 | 1.561904 | 1.686900 | 1.744258 | 1.738849 | 1.683506 | 1.734862 |
| 250 | St. Vincent and the Grenadines | 0.103858 | 0.186117 | 0.211623 | 0.171557 | 0.093955 | -0.010128 | -0.078297 | -0.115255 | -0.097840 | -0.029555 | 0.056333 | 0.109803 | 0.172305 | 0.219787 | 0.263292 | 0.284529 | 0.335635 | 0.348124 |
| 251 | Venezuela, RB | 1.859333 | 1.825033 | 1.781678 | 1.726465 | 1.662678 | 1.568074 | 1.469276 | 1.414738 | 1.419817 | 1.448313 | 1.564456 | 1.627756 | 1.424032 | 0.874378 | 0.122058 | -0.786448 | -1.538843 | -1.785865 |
| 252 | British Virgin Islands | 1.776263 | 2.172126 | 2.537460 | 3.008908 | 3.402542 | 3.887610 | 4.174236 | 4.106631 | 3.545990 | 2.753990 | 1.871279 | 1.162049 | 0.685256 | 0.491045 | 0.560707 | 0.693937 | 0.753414 | 0.757847 |
| 253 | Virgin Islands (U.S.) | -0.085639 | -0.035935 | -0.003686 | -0.035949 | -0.011986 | -0.076559 | -0.029533 | 0.055366 | 0.005535 | -0.043365 | -0.060928 | -0.093310 | -0.135963 | -0.148198 | -0.161415 | -0.185856 | -0.225349 | -0.271652 |
| 254 | Vietnam | 1.035891 | 0.976004 | 0.936613 | 0.920597 | 0.922548 | 0.931889 | 0.943390 | 0.959820 | 0.979424 | 1.000122 | 1.022305 | 1.042048 | 1.053406 | 1.053480 | 1.043962 | 1.032287 | 1.017796 | 0.992716 |
| 255 | Vanuatu | 2.270061 | 2.454063 | 2.565307 | 2.564358 | 2.494028 | 2.402087 | 2.352117 | 2.355932 | 2.436867 | 2.557283 | 2.690697 | 2.782247 | 2.819993 | 2.786993 | 2.707364 | 2.620905 | 2.546959 | 2.480281 |
| 256 | World | 1.297640 | 1.276398 | 1.261671 | 1.254546 | 1.247252 | 1.244055 | 1.236152 | 1.239777 | 1.223820 | 1.203926 | 1.170946 | 1.184783 | 1.184819 | 1.181044 | 1.170044 | 1.165513 | 1.143093 | 1.108774 |
| 257 | Samoa | 0.536237 | 0.577036 | 0.608664 | 0.621221 | 0.634636 | 0.637268 | 0.644769 | 0.666288 | 0.703066 | 0.751950 | 0.814106 | 0.859902 | 0.857814 | 0.785510 | 0.669894 | 0.526740 | 0.419096 | 0.397465 |
| 258 | Kosovo | 0.067859 | 0.067931 | 0.067885 | 0.067839 | 0.067910 | 0.803200 | 0.803262 | 0.803213 | 0.803172 | 0.803249 | 0.859067 | 0.789727 | 1.041533 | -0.126169 | -1.103886 | 0.796024 | 0.795200 | 0.794346 |
| 259 | Yemen, Rep. | 2.883516 | 2.889575 | 2.892683 | 2.881947 | 2.861969 | 2.844836 | 2.834913 | 2.824210 | 2.811865 | 2.795788 | 2.779988 | 2.757339 | 2.716520 | 2.654141 | 2.578072 | 2.498247 | 2.424025 | 2.357023 |
| 260 | South Africa | 1.333293 | 1.263918 | 1.223839 | 1.217777 | 1.237753 | 1.263600 | 1.291494 | 1.334129 | 1.391533 | 1.455280 | 1.525314 | 1.583107 | 1.605752 | 1.583168 | 1.528926 | 1.464829 | 1.407741 | 1.357697 |
| 261 | Zambia | 2.617614 | 2.580520 | 2.564828 | 2.577369 | 2.611388 | 2.640771 | 2.670265 | 2.726415 | 2.813366 | 2.914663 | 3.020291 | 3.102770 | 3.139812 | 3.121305 | 3.066875 | 3.003346 | 2.951583 | 2.912801 |
| 262 | Zimbabwe | 0.356533 | 0.254425 | 0.233401 | 0.314039 | 0.471329 | 0.650311 | 0.822825 | 1.003659 | 1.183792 | 1.353893 | 1.536391 | 1.698001 | 1.777645 | 1.754692 | 1.663813 | 1.549759 | 1.460061 | 1.410783 |
263 rows × 19 columns
def map_world() -> Map:
c = (
Map()
.add("世界人口增长率", [list(z) for z in zip(df.Country , df.year_2018)], "world")
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(
title_opts=opts.TitleOpts(title="世界人口增长率地图"),
visualmap_opts=opts.VisualMapOpts(max_=5,min_=-3),
)
)
return c
map_world().render_notebook()
import pandas as pd
df=pd.read_csv("csxbb.csv")
df
| country | year_2000至2005 | 2005-2010 | 2010-2015 | year_2015至2020 | |
|---|---|---|---|---|---|
| 0 | Burundi | 1.03 | 1.03 | 1.03 | 1.03 |
| 1 | Comoros | 1.05 | 1.05 | 1.05 | 1.05 |
| 2 | Djibouti | 1.04 | 1.04 | 1.04 | 1.04 |
| 3 | Eritrea | 1.05 | 1.05 | 1.05 | 1.05 |
| 4 | Ethiopia | 1.04 | 1.04 | 1.04 | 1.04 |
| 5 | Kenya | 1.03 | 1.03 | 1.03 | 1.03 |
| 6 | Madagascar | 1.02 | 1.03 | 1.03 | 1.03 |
| 7 | Malawi | 1.02 | 1.03 | 1.03 | 1.03 |
| 8 | Mauritius | 1.04 | 1.04 | 1.04 | 1.04 |
| 9 | Mayotte | 1.03 | 1.03 | 1.03 | 1.03 |
| 10 | Mozambique | 1.01 | 1.02 | 1.02 | 1.02 |
| 11 | Réunion | 1.03 | 1.03 | 1.03 | 1.03 |
| 12 | Rwanda | 1.01 | 1.01 | 1.02 | 1.02 |
| 13 | Seychelles | 1.06 | 1.06 | 1.06 | 1.06 |
| 14 | Somalia | 1.03 | 1.03 | 1.03 | 1.03 |
| 15 | South Sudan | 1.04 | 1.04 | 1.04 | 1.04 |
| 16 | Uganda | 1.03 | 1.03 | 1.03 | 1.03 |
| 17 | United Republic of Tanzania | 1.03 | 1.03 | 1.03 | 1.03 |
| 18 | Zambia | 1.03 | 1.03 | 1.03 | 1.03 |
| 19 | Zimbabwe | 1.02 | 1.02 | 1.02 | 1.02 |
| 20 | Angola | 1.02 | 1.02 | 1.03 | 1.03 |
| 21 | Cameroon | 1.03 | 1.03 | 1.03 | 1.03 |
| 22 | Central African Republic | 1.03 | 1.03 | 1.03 | 1.03 |
| 23 | Chad | 1.03 | 1.03 | 1.03 | 1.03 |
| 24 | Congo | 1.03 | 1.03 | 1.03 | 1.03 |
| 25 | Democratic Republic of the Congo | 1.03 | 1.03 | 1.03 | 1.03 |
| 26 | Equatorial Guinea | 1.03 | 1.03 | 1.03 | 1.03 |
| 27 | Gabon | 1.03 | 1.03 | 1.03 | 1.03 |
| 28 | Sao Tome and Principe | 1.03 | 1.03 | 1.03 | 1.03 |
| 29 | Botswana | 1.03 | 1.03 | 1.03 | 1.03 |
| ... | ... | ... | ... | ... | ... |
| 151 | Slovakia | 1.05 | 1.05 | 1.05 | 1.05 |
| 152 | Ukraine | 1.06 | 1.06 | 1.07 | 1.06 |
| 153 | Channel Islands | 1.06 | 1.06 | 1.06 | 1.06 |
| 154 | Denmark | 1.05 | 1.06 | 1.06 | 1.06 |
| 155 | Estonia | 1.06 | 1.06 | 1.05 | 1.07 |
| 156 | Iceland | 1.04 | 1.05 | 1.05 | 1.05 |
| 157 | Ireland | 1.07 | 1.06 | 1.06 | 1.06 |
| 158 | Latvia | 1.05 | 1.04 | 1.06 | 1.07 |
| 159 | United Kingdom | 1.05 | 1.05 | 1.05 | 1.05 |
| 160 | Albania | 1.12 | 1.12 | 1.10 | 1.09 |
| 161 | Bosnia and Herzegovina | 1.07 | 1.07 | 1.05 | 1.07 |
| 162 | Croatia | 1.06 | 1.06 | 1.07 | 1.06 |
| 163 | Greece | 1.07 | 1.07 | 1.06 | 1.07 |
| 164 | Italy | 1.06 | 1.06 | 1.06 | 1.06 |
| 165 | Malta | 1.06 | 1.06 | 1.06 | 1.06 |
| 166 | Montenegro | 1.10 | 1.10 | 1.08 | 1.07 |
| 167 | North Macedonia | 1.05 | 1.07 | 1.08 | 1.06 |
| 168 | Portugal | 1.06 | 1.06 | 1.06 | 1.06 |
| 169 | Serbia | 1.06 | 1.07 | 1.07 | 1.07 |
| 170 | Slovenia | 1.06 | 1.06 | 1.06 | 1.06 |
| 171 | Spain | 1.06 | 1.06 | 1.06 | 1.06 |
| 172 | Austria | 1.06 | 1.06 | 1.06 | 1.06 |
| 173 | Belgium | 1.05 | 1.05 | 1.05 | 1.05 |
| 174 | France | 1.05 | 1.05 | 1.05 | 1.05 |
| 175 | Germany | 1.06 | 1.05 | 1.05 | 1.05 |
| 176 | Luxembourg | 1.05 | 1.05 | 1.05 | 1.05 |
| 177 | Netherlands | 1.06 | 1.06 | 1.06 | 1.05 |
| 178 | Switzerland | 1.05 | 1.05 | 1.05 | 1.05 |
| 179 | Canada | 1.05 | 1.05 | 1.05 | 1.05 |
| 180 | United States | 1.05 | 1.05 | 1.05 | 1.05 |
181 rows × 5 columns
def map_world() -> Map:
c = (
Map()
.add("世界人口出生性别比", [list(z) for z in zip(df.country , df.year_2015至2020)], "world")
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(
title_opts=opts.TitleOpts(title="世界人口出生性别比地图"),
visualmap_opts=opts.VisualMapOpts(max_=1.5,min_=1),
)
)
return c
map_world().render_notebook()