Pandas: Convert dtype of a column

19 August 2020

Code

# Import library
import pandas as pd

# Create a DataFrame
df = pd.DataFrame({
    'process': ['grinding', 'winding', 'milling'],
    'value(float)': [22.1234, 34.4987, 54.9999]
})

print(df)

    process  value(float)
0  grinding       22.1234
1   winding       34.4987
2   milling       54.9999

.

# Change dtype of column
df['new_value(integer)'] = df['value(float)'].astype('int64')

# Output
print(df)

Output:

    process  value(float)  new_value(integer)
0  grinding       22.1234                  22
1   winding       34.4987                  34
2   milling       54.9999                  54






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