#LABEL POINTS ON SCATTER PLOT MATPLOTLIB CODE#

LetвЂ™s add some axis labels and a title to make our scatter plot easier to understand. They tell us more about the plot and is it essential you include them on every plot you make. So we should try and get our customers to spend as much as possible. This means that as the bill increases, so does the tip. Nice! It looks like there is a positive correlation between a total_bill and tip. A scatter graph shows what happens to the dependent variable ( y) when we change the independent variable ( x).

We call the former the independent variable and the latter the dependent variable.

First, we pass the x-axis variable, then the y-axis one. ItвЂ™s very easy to do in matplotlib вЂ“ use the plt.scatter() function. LetвЂ™s make a scatter plot of total_bill against tip. The variables total_bill and tip are both NumPy arrays. DonвЂ™t worry if you donвЂ™t understand what this is just yet. The variable tips_df is a pandas DataFrame. Total_bill = tips_df.total_bill.to_numpy() # Seaborn's default settings look much nicer than matplotlib

Note: this dataset comes built-in as part of the seaborn library.ДЇirst, letвЂ™s import the modules weвЂ™ll be using and load the dataset.

If there are, we can use them to earn more in future. We want to see if there are any relationships between the variables. WeвЂ™re going to explore this data using scatter plots. In the last month, you waited 244 tables and collected data about them all. You want to make as much money as possible and so want to maximize the amount of tips. You get paid a small wage and so make most of your money through tips. LetвЂ™s dive into a more advanced example next! Matplotlib Scatter Plot Example However, you may not like the style of this scatter plot.

The third argument is the style of the scatter points. The second argument is the iterable of y values. The first argument is the iterable of x values.

Plot the data using the plt.plot() function.

#LABEL POINTS ON SCATTER PLOT MATPLOTLIB CODE#

The following code shows a minimal example of creating a scatter plot in Python.

Matplotlib Scatter Plot Different Colors.

Do you have any suggestions of a better way to display some label/name about a point?ДЄny guidance or pointers to documentation where I could read up would be appreciated. I'm not sure what to make of this error and would appreciate any help.ДЄnother question I have is (from trying out changes on the existing plot in the DataCursor thread) that using index of to get back label as I am currently doing will give me a value doesn't exist in list error since the clicked on value may not be exactly same as the value in the list. I want to be able to see the string stored in the list hts on mouseover at the x and y coordinates stored in nov14 and nov21 lists respectively at the same indices. I am getting the following error though: AttributeError: 'CircleCollection' object has no attribute 'get_data' # ht_dict has the following format: 'ht1' = where each key is a string and each value is a list of two integersДЇig.canvas.mpl_connect('pick_event', DataCursor(plt.gca(), hts, nov14, nov21)) Textcoords='offset points', ha='right', va='bottom',Д«box=dict(boxstyle='round,pad=0.5', fc='yellow', alpha=0.5),ДЄrrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=0') Xy=(self.x, self.y), xytext=(self.xoffset, self.yoffset), Self.annotation = ax.annotate(self.text_template, However, there are two differences: one, I'm making a scatter plot and two, I want to label names for each point and not just the x,y coordinates. I have several thousand points and would like to see their label on mouseover. I am trying to use the DataCursor approach ( ) to label points using matplotlib.

Label points on scatter plot matplotlib