I want to filter my dataframe with an or condition to keep rows with a particular column’s values that are outside the range [-0.25, 0.25]. I tried: But I get the error: Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() Answer The or and and Python statements require truth-values. For pandas, these are considered
Tag: dataframe
Pandas Dataframe datetime slicing with Index vs MultiIndex
With single indexed dataframe I can do the following: Date time slicing works when you give it a complete day (i.e. 2016-01-01), and it also works when you give it a partial date, like just the year and month (2016-01). All this works great, but when you introduce a multiindex, it only works for complete dates. The partial date slicing
How to divide two columns element-wise in a pandas dataframe
I have two columns in my pandas dataframe. I’d like to divide column A by column B, value by value, and show it as follows: The columns: And the expected result: How do I do this? Answer Just divide the columns:
pandas multiple conditions based on multiple columns
I am trying to color points of a pandas dataframe depending on TWO conditions. Example: I have tried so many different ways now and everything I found online was only depending on one condition. My example code always raises the Error: Here’s the code. Tried several variations without success. Btw: I understand, what it says but not how to handle
How to get rid of “Unnamed: 0” column in a pandas DataFrame read in from CSV file?
I have a situation wherein sometimes when I read a csv from df I get an unwanted index-like column named unnamed:0. file.csv The CSV is read with this: This is very annoying! Does anyone have an idea on how to get rid of this? Answer It’s the index column, pass pd.to_csv(…, index=False) to not write out an unnamed index column
Call column in dataframe by column index instead of column name – pandas
How can I call column in my code using its index in dataframe instead of its name. For example I have dataframe df with columns a, b, c Instead of calling df[‘a’], can I call it using its column index like df[1]? Answer You can use iloc: Example:
Replace values in one dataframe with values in second dataframe in Python
I have a large dataframe (DF1) that contains a variable containing UK postcode data. Inevitably there are some typos in the data. However, after some work with regular expressions, I have created a second database that contains corrected versions of the postcode data (but only for those rows where the original postcode was incorrect) – DF2. (N.B. the index values
Group by and find top n value_counts pandas
I have a dataframe of taxi data with two columns that looks like this: Basically, each row represents a taxi pickup in that neighborhood in that borough. Now, I want to find the top 5 neighborhoods in each borough with the most number of pickups. I tried this: Which gives me something like this: How do I filter it so
move column in pandas dataframe
I have the following dataframe: How can I move columns b and x such that they are the last 2 columns in the dataframe? I would like to specify b and x by name, but not the other columns. Answer You can rearrange columns directly by specifying their order: In the case of larger dataframes where the column titles are
Converting pandas.DataFrame to bytes
I need convert the data stored in a pandas.DataFrame into a byte string where each column can have a separate data type (integer or floating point). Here is a simple set of data: and df looks something like this: The DataFrame knows about the types of each column df.dtypes so I’d like to do something like this: This typically works