'KeyError string in the dataframe
Solution 1:[1]
Use:
census_2016_df = census_df[[0,1]]
This will give you state and Population estimates, July 1, 2016, (V2016) on your table.
Solution 2:[2]
df.columns or df.keys() return array of columns that on dataframe. you can print or just call using the index. for example df[df.columns[0]] will return the first column of the dataframe
or if you want to get the first and second columns as dataframe, you can use df[[df.columns[0],df.columns[1]]]. that will return dataframe with first and second column
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Tyler2P |
| Solution 2 | dimas krisrianto |

