series

I try to solve this problem several times and give up. Now, when I have met him again, I decided to ask for some help. I have this code for my Legend: legend: { layout: 'vertical', align: 'right', verticalAlign: 'top', x: -10, y: 100, borderWidth: 0, labelFormatter: function() { if(this.name!='Series 1') { return this.name; } else { return 'Legend'; } } } If I change the return from 'Legend' to '' the text is not shown but still there is a 'dash' on the top of the legend. If I do not use label formater function I have 'Series 1' + 'dash' like a first row in my legend. How to hide them? Please,

This question already has an answer here: Pandas replacing elements not working 3 answers I want to replace the -inf values in a pandas.series feature (column of my dataframe) to np.nan, but I could not make it. I have tried: df[feature] = df[feature].replace(-np.infty, np.nan) df[feature] = df[feature].replace(-np.inf, np.nan) df[feature] = df[feature].replace('-inf', np.nan) df[feature] = df[feature].replace(float('-inf'), np.nan) But it does not work. Any ideas how to replace these values? Edit: df[feature] = df[feature].replace(-np.inf, np.nan) works BUT: df = df.replace(-np.inf, np.nan)

I have a pandas series: names = pd.Series([ 'Andre Agassi', 'Barry Bonds', 'Christopher Columbus', 'Daniel Defoe', 'Emilio Estevez', 'Fred Flintstone', 'Greta Garbo', 'Humbert Humbert', 'Ivan Ilych']) Which looks like this: 0 Andre Agassi 1 Barry Bonds 2 Christopher Columbus 3 Daniel Defoe 4 Emilio Estevez 5 Fred Flintstone 6 Greta Garbo 7 Humbert Humbert 8 Ivan Ilych and I want to make it like this: 0 Agassi, Andre 1 Bonds, Barry 2 Columbus, Christopher 3 Defoe, Daniel 4 Estevez, Emilio 5 Flintstone, Fred 6 Garbo, Greta 7 Humbert, Humbert 8 Ilych, Ivan Someone suggested code like this, but it

I've got a dataframe containing country names & their percentage of energy output. I need to add a new column that assigns a 1 or 0, based on whether the country's energy output is above or below the median of energy output. Some dummy code is: import pandas as pd def answer(): df = pd.DataFrame({'name':['china', 'america', 'canada'], 'output': [33.2, 15.0, 5.0]}) df['newcol'] = df.where(df['output'] > df['output'].median(), 1, 0) return df['newcol'] answer() the code returns ValueError: Wrong number of items passed 2, placement implies 1 I feel like this is an incredibly simple fix but I'm

I have written a program in C# whereby it automatically generates a graph for me from a CSV file and puts it onto a new XLS file. However, I need to change the color of the Line (as it is a Line Chart) to red rather than the default blue. I am finding this extremely difficult to do and the stuff I've found online has not worked. Please can someone tell me how to do this? Here is an example. I noticed when I tried to pass an integer that the bytes seem to be read in reverse order. So assigning 0xFF0000 makes the color blue and 0x0000FF turns the line red. Fortunately Microsoft provided an

I have the following problem: I have a dataframe like this one: col1 col2 col3 0 2 5 4 1 4 3 5 2 6 2 7 Now I have an array for example a = [5,5,5] and i want to insert this array in col3 but only in specific rows (let's say 0 and 2) and obtain something like that: col1 col2 col3 0 2 5 [5,5,5] 1 4 3 5 2 6 2 [5,5,5] The problem is that when I try to do: zip_df.at[[0,2],'col3'] = a I receive the following error ValueError: Must have equal len keys and value when setting with an ndarray . How can I solve this problem? What you're attempting is not recommended. 1 Pandas is not designed to hold list