add rows to dataframe pandas
df = df.append({'a':1, 'b':2}, ignore_index=True)add rows to dataframe pandas
df = df.append({'a':1, 'b':2}, ignore_index=True)how to add row in spark dataframe
# Create hard coded row
unknown_list = [[‘0’, ‘Unknown’]]
# turn row into dataframe
unknown_df = spark.createDataFrame(unknown_list)
# union with existing dataframe
df = df.union(unknown_df)pandas insert row
import pandas as pd
data = {'name': ['Somu', 'Kiku', 'Amol', 'Lini'],
'physics': [68, 74, 77, 78],
'chemistry': [84, 56, 73, 69],
'algebra': [78, 88, 82, 87]}
#create dataframe
df_marks = pd.DataFrame(data)
print('Original DataFrame\n------------------')
print(df_marks)
new_row = {'name':'Geo', 'physics':87, 'chemistry':92, 'algebra':97}
#append row to the dataframe
df_marks = df_marks.append(new_row, ignore_index=True)
print('\n\nNew row added to DataFrame\n--------------------------')
print(df_marks)add new row to dataframe pandas
# Add a new row at index k with values provided in list
dfObj.loc['k'] = ['Smriti', 26, 'Bangalore', 'India']Copyright © 2021 Codeinu
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