Hh = plt.scatter(xHiHi, yHiHi, zHiHi, marker='o',color=colors) H = plt.scatter(xHi, yHi, zHi, marker='o',color=colors) L = plt.scatter(xLo, yLo, zLo, marker='o',color=colors)Ī = plt.scatter(xAverage, yAverage, zAverage, marker='o',color=colors) Ll = plt.scatter(xLoLo, yLoLo, zLoLo, marker='o', color=colors) lo = plt.scatter(xLOutlier, yLOutlier, zLOutlier, marker='x', color=colors) Each list contains either the x, y, or z variable. With scatter, I changed the range(10) to the lists containing the data points. Scatter returned an error and scatter changed the graph and returned an error. I tried changing Line2D to Scatter and scatter.
Plt.legend((lo,ll,l,a, h, hh, ho),('Low Outlier', 'LoLo','Lo', 'Average', 'Hi', 'HiHi', 'High Outlier'),numpoints=1, loc='lower left', ncol=3, fontsize=8) When I create the legend, the legend shows the correct symbol and color but adds a line through it. Points are randomly generated, but the style of the plot should be the same.I created a 4D scatter plot graph to represent different temperatures in a specific area. To sum it up: x = league_rushing_success.valuesĪx.set_xlabel('Rush Success Rate', fontsize=14)Īx.set_title('Rush Success Rate and EPA', fontsize=18) Plt.scatter(x, y, marker='x', color='red') If you want to add labels to a plot, it might be a good idea to look into # I would use something like this instead of `plt.text`Īx.annotate(txt, (x, y), xytext=(10,10), textcoords='offset points') X = x_coords # would give name 'x_coords' is not defined
Matplotlib scatter plot with labels code#
Types = league_rushing_success.reset_index().valuesįrom your code it is also not very clear what x_coords and y_coords mean (and would give you an error, too): for i,type in enumerate(types): This line gives you an error because posteam is an index: # error > 2659 return self._engine.get_loc(self._maybe_cast_indexer(key))Ģ660 indexer = self.get_indexer(, method=method, tolerance=tolerance)Ģ661 if indexer.ndim > 1 or indexer.size > 1: anaconda3/lib/python3.7/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance) anaconda3/lib/python3.7/site-packages/pandas/core/frame.py in _getitem_(self, key)Ģ926 return self._getitem_multilevel(key) > 4 types = league_rushing_success.valuesĦ fig, ax = plt.subplots(figsize=(10,10))
KeyError Traceback (most recent call last)Ģ x = league_rushing_success.valuesģ y = league_rushing_success.values Pandas/_libs/hashtable_class_helper.pxi in pandas._item()ĭuring handling of the above exception, another exception occurred: Pandas/_libs/index.pyx in pandas._圎ngine.get_loc()
Started off with this league_rushing_success = data.loc='run') & (data 2657 return self._engine.get_loc(key) Right now the scatter plot is only showing dots but I was wondering if there were a way to add labels to each plot from the corresponding data?
Started toying around with the NFLScrapr package in python and am trying to create a scatter plot to display some info.
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