India map drawing with states name

Sample Num. Data Sample Text Data Clear All Andhra_Pradesh 1 Arunachal_Pradesh 4 Assam 5 Bihar 20 Chandigarh 34 Chhattisgarh 52 Dadra_and_Nagar_Haveli 74 Daman_and_Diu 50 Delhi 65 Goa 164 Gujarat 101 Haryana 244 Himachal_Pradesh 290 Jammu_and_Kashmir 170 Jharkhand 197 Karnataka 452 Kerala 257 Lakshadweep 580 Madhya_Pradesh 650 Maharashtra 362 Manipur 401 Meghalaya 884 Mizoram 485 Nagaland 530 Orissa 1154 Puducherry 626 Punjab 677 Rajasthan 1460 Sikkim 785 Tamil_Nadu 842 Tripura 1802 Uttar_Pradesh 962 Uttaranchal 2050 West_Bengal 1090 How to Color India Map? : * The data that appears when the page is first opened is sample data. Press the "Clear All" button to clear the sample data. * Enter your own data next to country or city names. Do not change city or country names in this field. * If you enter numerical data, enter the limit values for the scale and select the scale color. You can set up to 8 scales. * If you enter text data, it will automatically appear on the scale. If you enter even 1 text value, the numeric values will appear as text. * You can select background of the map colored or transparent and download the map in PNG,PDF or SVG(vector) formats. Tips : * If you want, you can edit the data in the table with excel or other text editors and paste them into the data field. However, do not change the country and city names in the table. * You can convert SVG (vector) map of India to EPS, vector PDF etc. using free Inscape program. * If you rearrange the India map ...

I am trying to plot India map using plotly, but unable to find a way to do that. Below is the code which I tried for USA. import pandas as pd df_sample = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/laucnty16.csv') df_sample['State FIPS Code'] = df_sample['State FIPS Code'].apply(lambda x: str(x).zfill(2)) df_sample['County FIPS Code'] = df_sample['County FIPS Code'].apply(lambda x: str(x).zfill(3)) df_sample['FIPS'] = df_sample['State FIPS Code'] + df_sample['County FIPS Code'] colorscale = ["#f7fbff","#ebf3fb","#deebf7","#d2e3f3","#c6dbef","#b3d2e9","#9ecae1", "#85bcdb","#6baed6","#57a0ce","#4292c6","#3082be","#2171b5","#1361a9", "#08519c","#0b4083","#08306b"] endpts = list(np.linspace(1, 12, len(colorscale) - 1)) fips = df_sample['FIPS'].tolist() values = df_sample['Unemployment Rate (%)'].tolist() fig = ff.create_choropleth( fips=fips, values=values, binning_endpoints=endpts, colorscale=colorscale, show_state_data=False, show_hover=True, centroid_marker=, asp=2.9, title='USA by Unemployment %', legend_title='% unemployed' ) fig.layout.template = None fig.show() OUTPUT: In a similar way I just want to draw India's map with hovering values. and just want output like below... the output of INDIAN MAP: The figure factory create_choropleth method that you're using is Like your example choropleth, let's plot the current number of active COVID-19 cases per state as of Now, as detailed in the import pandas as pd import plotly.express as px df = pd.read...

Cancel • 2500x2500 image export • Import Lists • 500 Geocodes / month • Add Layers (Heatmaps etc..) • Crop, WMS, and TMS • Layer/Folder management • Bulk edit, analyze, and exact draw • Search by type/radius • Region Highlighter • Map Security • Save Maps Offline • Priority Support • Unlimited Account Maps • Additional Tools

Can anyone help me with plotting the most recent political map of India which also includes state boundaries? The default maps in basemap or cartopy does not include the disputed areas and state boundaries. My present code is import cartopy as ccrs import matplotlib.pyplot as plt import cartopy.feature as cfeature fig, ax = plt.subplots(subplot_kw=dict(projection=ccrs.crs.PlateCarree())) ax.set_extent([67.0, 98.0, 5.0, 38.0]) gl = ax.gridlines(crs=ccrs.crs.PlateCarree(), draw_labels=True, linewidth=1, color='gray', alpha=0.5, linestyle='--') gl.xlabels_top = False gl.ylabels_right = False ax.coastlines(color='black', linewidth=1, resolution='10m') ax.add_feature(cfeature.BORDERS.with_scale('10m'), linestyle='-', alpha=.5) you can use ax.add_feature(cfeature.STATES.with_scale('10m'), linestyle='-', alpha=.5, color='red') to draw states boundaries, but this will draw all countries states. Note: Strangely enough, when using scale '50m', only US, Brazil and Australia states are draw. If you need country specific data, the best way is to download a shapefile from import cartopy.crs as ccrs import matplotlib.pyplot as plt import cartopy.feature as cfeature from cartopy.io.shapereader import Reader from cartopy.feature import ShapelyFeature fig, ax = plt.subplots(subplot_kw=dict(projection=ccrs.PlateCarree())) ax.set_extent([67.0, 98.0, 5.0, 38.0]) gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=True, linewidth=1, color='gray', alpha=0.5, linestyle='--') gl.xlabels_top = Fa...

Cancel • 2500x2500 image export • Import Lists • 500 Geocodes / month • Add Layers (Heatmaps etc..) • Crop, WMS, and TMS • Layer/Folder management • Bulk edit, analyze, and exact draw • Search by type/radius • Region Highlighter • Map Security • Save Maps Offline • Priority Support • Unlimited Account Maps • Additional Tools

I am trying to plot India map using plotly, but unable to find a way to do that. Below is the code which I tried for USA. import pandas as pd df_sample = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/laucnty16.csv') df_sample['State FIPS Code'] = df_sample['State FIPS Code'].apply(lambda x: str(x).zfill(2)) df_sample['County FIPS Code'] = df_sample['County FIPS Code'].apply(lambda x: str(x).zfill(3)) df_sample['FIPS'] = df_sample['State FIPS Code'] + df_sample['County FIPS Code'] colorscale = ["#f7fbff","#ebf3fb","#deebf7","#d2e3f3","#c6dbef","#b3d2e9","#9ecae1", "#85bcdb","#6baed6","#57a0ce","#4292c6","#3082be","#2171b5","#1361a9", "#08519c","#0b4083","#08306b"] endpts = list(np.linspace(1, 12, len(colorscale) - 1)) fips = df_sample['FIPS'].tolist() values = df_sample['Unemployment Rate (%)'].tolist() fig = ff.create_choropleth( fips=fips, values=values, binning_endpoints=endpts, colorscale=colorscale, show_state_data=False, show_hover=True, centroid_marker=, asp=2.9, title='USA by Unemployment %', legend_title='% unemployed' ) fig.layout.template = None fig.show() OUTPUT: In a similar way I just want to draw India's map with hovering values. and just want output like below... the output of INDIAN MAP: The figure factory create_choropleth method that you're using is Like your example choropleth, let's plot the current number of active COVID-19 cases per state as of Now, as detailed in the import pandas as pd import plotly.express as px df = pd.read...

Can anyone help me with plotting the most recent political map of India which also includes state boundaries? The default maps in basemap or cartopy does not include the disputed areas and state boundaries. My present code is import cartopy as ccrs import matplotlib.pyplot as plt import cartopy.feature as cfeature fig, ax = plt.subplots(subplot_kw=dict(projection=ccrs.crs.PlateCarree())) ax.set_extent([67.0, 98.0, 5.0, 38.0]) gl = ax.gridlines(crs=ccrs.crs.PlateCarree(), draw_labels=True, linewidth=1, color='gray', alpha=0.5, linestyle='--') gl.xlabels_top = False gl.ylabels_right = False ax.coastlines(color='black', linewidth=1, resolution='10m') ax.add_feature(cfeature.BORDERS.with_scale('10m'), linestyle='-', alpha=.5) you can use ax.add_feature(cfeature.STATES.with_scale('10m'), linestyle='-', alpha=.5, color='red') to draw states boundaries, but this will draw all countries states. Note: Strangely enough, when using scale '50m', only US, Brazil and Australia states are draw. If you need country specific data, the best way is to download a shapefile from import cartopy.crs as ccrs import matplotlib.pyplot as plt import cartopy.feature as cfeature from cartopy.io.shapereader import Reader from cartopy.feature import ShapelyFeature fig, ax = plt.subplots(subplot_kw=dict(projection=ccrs.PlateCarree())) ax.set_extent([67.0, 98.0, 5.0, 38.0]) gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=True, linewidth=1, color='gray', alpha=0.5, linestyle='--') gl.xlabels_top = Fa...

Sample Num. Data Sample Text Data Clear All Andhra_Pradesh 2 Arunachal_Pradesh 2 Assam 5 Bihar 20 Chandigarh 17 Chhattisgarh 26 Dadra_and_Nagar_Haveli 37 Daman_and_Diu 50 Delhi 65 Goa 82 Gujarat 101 Haryana 244 Himachal_Pradesh 145 Jammu_and_Kashmir 340 Jharkhand 394 Karnataka 226 Kerala 257 Lakshadweep 580 Madhya_Pradesh 650 Maharashtra 362 Manipur 802 Meghalaya 442 Mizoram 970 Nagaland 530 Orissa 1154 Puducherry 1252 Punjab 1354 Rajasthan 1460 Sikkim 1570 Tamil_Nadu 842 Tripura 1802 Uttar_Pradesh 962 Uttaranchal 2050 West_Bengal 2180 How to Color India Map? : * The data that appears when the page is first opened is sample data. Press the "Clear All" button to clear the sample data. * Enter your own data next to country or city names. Do not change city or country names in this field. * If you enter numerical data, enter the limit values for the scale and select the scale color. You can set up to 8 scales. * If you enter text data, it will automatically appear on the scale. If you enter even 1 text value, the numeric values will appear as text. * You can select background of the map colored or transparent and download the map in PNG,PDF or SVG(vector) formats. Tips : * If you want, you can edit the data in the table with excel or other text editors and paste them into the data field. However, do not change the country and city names in the table. * You can convert SVG (vector) map of India to EPS, vector PDF etc. using free Inscape program. * If you rearrange the India ma...