You can useDataFrame.astype(int)orDataFrame.apply()method to convert a column to int (float/string to integer/int64/int32 dtype) data type. If you are converting float, you would know float is bigger than int t
Yields below output. Note that when a key is not found for some dicts and it exists on other dicts, it creates a DataFrame withNaNfor non-existing keys. In case you would like to change the NaN values refer toHow to replace NaN/None values with empty String. ...
How to Replace Nan/Null to Empty String in Pandas How to Convert Index to Column in pandas DataFrame. References https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.convert_dtypes.html Tags:DataFrame.apply(np.int64),DataFrame.astype(int),DataFrame.fillna(0)...