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Tag: pandas

Create pandas dataframe from multiple sources

I need to create a pandas dataframe using information from two different sources. For example, The first 3 columns in the dataframe I want should contain c1, c2, c3, and the rest of the columns come from the key of the returnedDict. The number of keys in the returnedDict is 100. How can I initialize such Data…

How to replace ffill() method with custom function in pandas

here is my sample df: If I would like to replace the NaN values and ffill the last number (70.2 – in this case), I would simply apply: However, what if I would like to apply a custom function instead of ffill() method: For instance, I need the NaN values of y column to be replaced with “2 * x^2&#8…

How to set groups by the percentiles of whole sample?

I am new to pandas, and I want to figure out how to group values based on sample quantiles. For example, I have a dataframe with a column a. df = pd.DataFrame(np.random.randint(0,100,size=(100, 1)), columns=list(‘a’)) Then what I want to do is to divide the values in a into 10 different group by t…

Pandas Reading csv file with ” in the data

I want to parse CSV file but the data look like in the below. While using separator as ,” it does not distribute file correctly to the columns. Is there any way to ignore ” or escaping with regex? 3,”Gunnar Nielsen Aaby”,”M”,24,NA,NA,”Denmark”,”DEN” …

Return highest correlation values pandas

I have this function This is the output How can return the highest correlation values that are lower than 1? That is, I want to remove the 1s that appear on the top when I use sort_values(ascending=False) Answer Multiindex Series from the Pandas User Guide Filter for values less than one.