how to define dtype of each column before actually reading csv file
import pandas as pd
# ...[.].csv = your .csv file
# datatype = dtype you want to define.
read = pd.read_csv('......[.]csv',dtype={'name_column':'datatype'})how to define dtype of each column before actually reading csv file
import pandas as pd
# ...[.].csv = your .csv file
# datatype = dtype you want to define.
read = pd.read_csv('......[.]csv',dtype={'name_column':'datatype'})pandas read csv
import pandas as pd
cereal_df = pd.read_csv("/tmp/tmp07wuam09/data/cereal.csv")
cereal_df2 = pd.read_csv("data/cereal.csv")
# Are they the same?
print(pd.DataFrame.equals(cereal_df, cereal_df2))Copyright © 2021 Codeinu
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