read csv uisng pandas
import pandas as pd #import pandas
#syntax: pd.read_csv('file_location/file_name.csv')
data = pd.read_csv('filelocation/fileName.csv') #reading data from csvread csv uisng pandas
import pandas as pd #import pandas
#syntax: pd.read_csv('file_location/file_name.csv')
data = pd.read_csv('filelocation/fileName.csv') #reading data from csvpandas 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))pandas 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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