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Use DataFrame. append() to append to an empty DataFrame Call DataFrame. append(other) with a DataFrame as other to append its rows to the end of DataFrame .
Append Rows to Empty DataFramepandas. DataFrame. append() function is used to add the rows of other DataFrame to the end of the given DataFrame and return a new DataFrame object.
Create Empty Dataframe and Append Rows First, create an empty dataframe using pd. DataFrame() and with the headers by using the columns parameter. Next, append rows to it by using a dictionary. Each row needs to be created as a dictionary.
You can add an empty column to the pandas dataframe using the = operator and assign null values to the column. What is this? An empty column will be added at the end of the dataframe with the column header Empty_Column. You can also add a column with nan values.
That should work:
>>> df = pd.DataFrame()
>>> data = pd.DataFrame({"A": range(3)})
>>> df.append(data)
A
0 0
1 1
2 2
But the append doesn't happen in-place, so you'll have to store the output if you want it:
>>> df
Empty DataFrame
Columns: []
Index: []
>>> df = df.append(data)
>>> df
A
0 0
1 1
2 2
And if you want to add a row, you can use a dictionary:
df = pd.DataFrame()
df = df.append({'name': 'Zed', 'age': 9, 'height': 2}, ignore_index=True)
which gives you:
age height name
0 9 2 Zed
You can concat the data in this way:
InfoDF = pd.DataFrame()
tempDF = pd.DataFrame(rows,columns=['id','min_date'])
InfoDF = pd.concat([InfoDF,tempDF])
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