In one column are randomly repeating keys. The query used is Select rows where the column Pid=’p01′. import pprint pp = pprint.PrettyPrinter(indent=4) pp.pprint(df_sliced_dict) returns Each of the columns has a name and an index. slice() in Pandas. One of the essential features that a data analysis tool must provide users for working with large data-sets is the ability to select, slice, and filter data easily. By default, .dropna () will drop any row that has a NaN in any column. Pandas - Concatenate or vertically merge dataframesVertically concatenate rows from two dataframes. The code below shows that two data files are imported individually into separate dataframes. ...Combine a list of two or more dataframes. The second method takes a list of dataframes and concatenates them along axis=0, or vertically. ...References. Pandas concat dataframes @ Pydata.org Index reset @ Pydata.org When selecting subsets of data, square brackets [] are used. pandas.Series.str.slice¶ Series.str. iloc … The selected rows are assigned to a new dataframe with the index of rows from old dataframe as an index in the new one and the columns remaining the same. If the DataFrame is referred to as df, the general syntax is: df ['column_name'] # Or. 2. iloc [:, 2: 3] Out[86]: Empty DataFrame Columns: [] Index: [0, 1, 2, 3, 4] In [87]: dfl. pandas reorder rows based on column; pandas create new column conditional on other columns; filter data in a dataframe python on a if condition of a value= 20 df1 = df [df ['column_name'] >= x] #define df2 as DataFrame where 'column_name' is < 20 df2 = df [df ['column_name'] < x] The following example shows how to use this syntax in practice. This is the approach that fails and just assigns NaNs. To index a dataframe using the index we need to make use of dataframe.iloc() method which takes . Pandas how to find column contains a certain value Recommended way to install multiple Python versions on Ubuntu 20.04 Build super fast web scraper with Python x100 than BeautifulSoup How to convert a SQL query result to a Pandas DataFrame in Python How to write a Pandas DataFrame to a .csv file in Python