ValueError: The number of FixedLocator locations (5), usually from a call to set_ticks, does not match the number of ticklabels (12)

Question

this piece of code was working before, however, after creating a new environment , it stopped working for the line

plt.xticks(x, months, rotation=25,fontsize=8)

if i comment this line then no error, after putting this line error is thrown

ValueError: The number of FixedLocator locations (5), usually from a call to set_ticks, does not match the number of ticklabels (12).

---

import numpy as np
import matplotlib.pyplot as plt

dataset = df
dfsize = dataset[df.columns[0]].size
x = []
for i in range(dfsize):
    x.append(i)

dataset.shape
# dataset.dropna(inplace=True)
dataset.columns.values
var = ""
for i in range(dataset.shape[1]):  ## 1 is for column, dataset.shape[1] calculate length of col

    y = dataset[dataset.columns[i]].values
    y = y.astype(float)
    y = y.reshape(-1, 1)
    y.shape
    from sklearn.impute import SimpleImputer

    missingvalues = SimpleImputer(missing_values=np.nan, strategy='mean', verbose=0)
    missingvalues = missingvalues.fit(y)
    y = missingvalues.transform(y[:, :])

    from sklearn.preprocessing import LabelEncoder, OneHotEncoder
    from sklearn.compose import ColumnTransformer

    labelencoder_x = LabelEncoder()
    x = labelencoder_x.fit_transform(x)

    from scipy.interpolate import *

    p1 = np.polyfit(x, y, 1)
    # from matplotlib.pyplot import *
    import matplotlib
    matplotlib.use('Agg')
    import matplotlib.pyplot as plt

    plt.figure()
    plt.xticks(x, months, rotation=25,fontsize=8)
    #print("-->"+dataset.columns[i])
    plt.suptitle(dataset.columns[i] + ' (xyz)', fontsize=10)
    plt.xlabel('month', fontsize=8)
    plt.ylabel('Age', fontsize=10)
    plt.plot(x, y, y, 'r-', linestyle='-', marker='o')
    plt.plot(x, np.polyval(p1, x), 'b-')
    y = y.round(decimals=2)
    for a, b in zip(x, y):
        plt.text(a, b, str(b), bbox=dict(facecolor='yellow', alpha=0.9))

    plt.grid()
    # plt.pause(2)
    # plt.grid()

    var = var + "," + dataset.columns[i]
    plt.savefig(path3 + dataset.columns[i] + '_1.png')
    plt.close(path3 + dataset.columns[i] + '_1.png')
    plt.close('all')

Answer 1

I am using subplots and came across the same error. I've noticed that the error disappears if the axis being re-labelled (in my case the y-axis) shows all labels. If it does not, then the error you have flagged appears. I suggest increasing the chart height until all the y-axis labels are shown by default (See screenshots below).

Alternatively, I suggest using ax.set_xticks(...) to define the FixedLocator tick positions and then ax.set_xticklables(...) to set the labels.

Ever 2nd y-axis label drawn

Every y-axis label drawn and over-written with custom labels

Answer 2

I also stumbled across the error and found that making both your xtick_labels and xticks a list of equal length works. So in your case something like :

def month(num):
  # returns month name based on month number


num_elements = len(x)
X_Tick_List = []
X_Tick_Label_List=[]

for item in range (0,num_elements):
    X_Tick_List.append(x[item])
    X_Tick_Label_List.append(month(item+1))

plt.xticks(ticks=X_Tick_List,labels=X_Tick_LabeL_List, rotation=25,fontsize=8)