I’m loading a local csv file that contains data. I’m trying to find the smallest float in a row thats mixed of NaN and numbers. I have tried using the numpy function called np.nanmin, but it throws: Any suggestions to why nanmin might not work? A link to the entire csv file: http://www.sharecsv.com/s/5aea6381d1debf75723a45aacd40abf8/database.csv Here is a sample of my coun_weight:
Tag: pandas
applymap() does not work on Pandas MultiIndex Slice
I have an hierarchical dataset: I want to apply a function to all values under the columns A. I can set the value to something: Easy enough. Now, instead of assigning a value, if I want to apply a mapping to this MultiIndex slice, it does not work. For example, let me apply a simple formatting statement: This step works
pandas DataFrame style, highlight nan’s
Say with this DataFrame How can I check which element is nan inside df.applymap? (ie, not using df.isnull) The problem comes from where I want to use the pandas html styling. We have the built-in nan highlighting but it changes the background colour, instead I want “nan” to be displayed in red. So I need to do it myself with
Use .corr to get the correlation between two columns
I have the following pandas dataframe Top15: I create a column that estimates the number of citable documents per person: I want to know the correlation between the number of citable documents per capita and the energy supply per capita. So I use the .corr() method (Pearson’s correlation): I want to return a single number, but the result is: Answer
Python/Pandas: If Column has multiple values, convert to single row with multiples values in list
In my DataFrame, I have many instances of same AutoNumber having different KeyValue_String. I would like to convert these instances to a single row where the KeyValue_String is a list comprised of the multiple unique values. The desired output would look like this, except I want to keep all of the other columns Answer If I understand correctly, you could
How to save a new sheet in an existing excel file, using Pandas?
I want to use excel files to store data elaborated with python. My problem is that I can’t add sheets to an existing excel file. Here I suggest a sample code to work with in order to reach this issue This code saves two DataFrames to two sheets, named “x1” and “x2” respectively. If I create two new DataFrames and
replace part of the string in pandas data frame
I have pandas data frame in which I need to replace one part of the vale with another value for Example. I have out of which I’d like to replace ony the HF – part thus the result would be I have tried pd.replace() but it doesnt work as I need only one part of the string replaced, rather than
Inconsistency when setting figure size using pandas plot method
I’m trying to use the convenience of the plot method of a pandas dataframe while adjusting the size of the figure produced. (I’m saving the figures to file as well as displaying them inline in a Jupyter notebook). I found the method below successful most of the time, except when I plot two lines on the same chart – then
pandas convert columns to percentages of the totals
I have a dataframe with 4 columns an ID and three categories that results fell into I would like to convert it to percentages ie: this seems like it should be within pandas capabilities but I just can’t figure it out. Thanks in advance! Answer You can do this using basic pandas operators .div and .sum, using the axis argument
How to import all fields from xls as strings into a Pandas dataframe?
I am trying to import a file from xlsx into a Python Pandas dataframe. I would like to prevent fields/columns being interpreted as integers and thus losing leading zeros or other desired heterogenous formatting. So for an Excel sheet with 100 columns, I would do the following using a dict comprehension with range(99). These import files do have a varying