python read csv
# pip install pandas import pandas as pd # Read the csv file data = pd.read_csv('data.csv') # Print it out if you want print(data)
python read csv
# pip install pandas import pandas as pd # Read the csv file data = pd.read_csv('data.csv') # Print it out if you want print(data)
command to read file in python using pandas
import panda as pd file_csv = pd.read_csv("file path") ## as csv format file_excel = pd.read_excel("file path") ## as excel format file_json = pd.read_json("file path") ## as json format file_html = pd.read_html("file path") ## as html format file_localClipboard = pd.read_clipboard("file path") ## as clipboard format file_MSExcel = pd.read_excel("file path") ## as excel format file_HDF5 = pd.read_hdf("file path") ## as hdf5 fomrmat file_Feather = pd.read_feather("file path") ## as feather format file_msgpack = pd.read_msgpack("file path") ## as msgpack format file_stata = pd.read_stata("file path") ## as stata format file_SAS = pd.read_sas("file path") ## as SAS format file_paythonPickle = pd.read_pickle("file path") ## as paython_pickle format file_SQL = pd.read_sql("file path") ## as sql format file_google_big_query = pd.read_gbq("file path") ## as google big query
how to read a csv file in python
import csv with open('some.csv', newline='') as f: reader = csv.reader(f) for row in reader: print(row)
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))
csv reader python
import csv with open('employee_birthday.txt', mode='r') as csv_file: csv_reader = csv.DictReader(csv_file) line_count = 0 for row in csv_reader: if line_count == 0: print(f'Column names are {", ".join(row)}') line_count += 1 print(f't{row["name"]} works in the {row["department"]} department, and was born in {row["birthday month"]}.') line_count += 1 print(f'Processed {line_count} lines.')
python read csv
>>> import csv >>> with open('eggs.csv', newline='') as csvfile: ... spamreader = csv.reader(csvfile, delimiter=' ', quotechar='|') ... for row in spamreader: ... print(', '.join(row)) Spam, Spam, Spam, Spam, Spam, Baked Beans Spam, Lovely Spam, Wonderful Spam
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