Label Python Data Points on Plot

Label python data points on plot

How about print (x, y) at once.

from matplotlib import pyplot as plt

fig = plt.figure()
ax = fig.add_subplot(111)

A = -0.75, -0.25, 0, 0.25, 0.5, 0.75, 1.0
B = 0.73, 0.97, 1.0, 0.97, 0.88, 0.73, 0.54

ax.plot(A,B)
for xy in zip(A, B):                                       # <--
    ax.annotate('(%s, %s)' % xy, xy=xy, textcoords='data') # <--

ax.grid()
plt.show()

Adding data labels to line graph in Matplotlib

In your code temp_labels is a list of lines, so x is a line object, which cannot be used to index a list, as indicated by the error. Start from here:

import matplotlib.pyplot as plt

dates = [10,11,12]
temp = [10,14,12]

plt.plot(dates,temp)

for x, y in zip(dates, temp):
    label = y
    plt.annotate(label, (x, y),
                 xycoords="data",
                 textcoords="offset points",
                 xytext=(0, 10), ha="center")

plt.show()

Labelling a data point in matplotlib using csv data

An example of annotate use with your data:

fig, ax = plt.subplots(figsize=(15, 10))
x = df['pass_att'].values
y = df['pass_cmp'].values
t = df['player'].values
ax.scatter(x, y)
ax.set_xlabel('Pass Att')
ax.set_ylabel('Pass Cmp')
ax.set_title('Pass Att vs Pass Cmp')
for i, txt in enumerate(t):
    ax.annotate(txt, xy=(x[i], y[i]), xytext=(x[i], y[i]+0.5), ha='center')
plt.show()

Scatter plot with different text at each data point

I'm not aware of any plotting method which takes arrays or lists but you could use annotate() while iterating over the values in n.

import matplotlib.pyplot as plt
y = [2.56422, 3.77284, 3.52623, 3.51468, 3.02199]
z = [0.15, 0.3, 0.45, 0.6, 0.75]
n = [58, 651, 393, 203, 123]

fig, ax = plt.subplots()
ax.scatter(z, y)

for i, txt in enumerate(n):
    ax.annotate(txt, (z[i], y[i]))

There are a lot of formatting options for annotate(), see the matplotlib website:

Python Matplotlib scatter plot labeling at plot points

Try this:

col_names=['City','Lat','Long']
df = pd.read_clipboard(sep=',', names=col_names)

def label_point(x, y, val, ax):
    a = pd.concat({'x': x, 'y': y, 'val': val}, axis=1)
    for i, point in a.iterrows():
        ax.text(point['x']+.02, point['y'], str(point['val']))

ax = df.plot.scatter('Lat', 'Long', figsize=(12,8))
label_point(df['Lat'], df['Long'], df['City'], ax)

Output:

I am unable to label the data points on the graph using matplotlib

You can add these two additional lines after plotting the scatter plots. They will add the text to the first and last entries.
You can do additional things like background box, etc. if required. You can check matplotlib documentation and examples here

offset=0.05
week4.annotate(country[0], (happy[0]+offset, satis[0]+offset), color='red', weight='bold')
week4.annotate(country.iat[-1], (happy.iat[-1]+offset, satis.iat[-1]+offset), color='blue', weight='bold')

Output graph

Labeling points in matplotlib scatterplot

You can do that:

import matplotlib.pyplot as plt

points = [[3,9],[4,8],[5,4]]

for i in range(len(points)):
    x = points[i][0]
    y = points[i][1]
    plt.plot(x, y, 'bo')
    plt.text(x * (1 + 0.01), y * (1 + 0.01) , i, fontsize=12)

plt.xlim((0, 10))
plt.ylim((0, 10))
plt.show()

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