write dataframe to csv
df.to_csv(r'/directory/path/file_name.csv', index = False, header = True)write dataframe to csv
df.to_csv(r'/directory/path/file_name.csv', index = False, header = True)how to write csv from a dataframe pythin
df.to_csv('file_name.csv')saving a pandas dataframe as a csv
df.to_csv(r'Path where you want to store the exported CSV fileFile Name.csv', index = False)pandas save dataframe to csv in python
df.to_csv(file_name, sep='t', encoding='utf-8')convert csv to pandas dataframe
import pandas as pd
df = pd.read_csv("sample_data.csv")
# .csv file format
column1,column2
1,2
3,4
5,6
# pandas dataframe
column1 column2
0 1 2
1 3 4
2 5 6pandas go through csv file
data = pd.read_csv(
"data/files/complex_data_example.tsv", # relative python path to subdirectory
sep='t' # Tab-separated value file.
quotechar="'", # single quote allowed as quote character
dtype={"salary": int}, # Parse the salary column as an integer
usecols=['name', 'birth_date', 'salary']. # Only load the three columns specified.
parse_dates=['birth_date'], # Intepret the birth_date column as a date
skiprows=10, # Skip the first 10 rows of the file
na_values=['.', '??'] # Take any '.' or '??' values as NA
)Copyright © 2021 Codeinu
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