Aug 22, 2016 · Oct 1, 2015 · Oct 9, 2015 · Oct 15, 2015 · Jan 22, 2016 · Jul 24, 2016
diff --git a/lib/matplotlib/ticker.py b/lib/matplotlib/ticker.py
            s = s.rstrip('0').rstrip('.')
        return s


 class LogFormatterExponent(LogFormatter):
    """
    Format values for log axis using ``exponent = log_base(value)``.
                    '%s%s^{%d}' %
                    (sign_string, base, nearest_long(fx))))


 class LogFormatterSciNotation(LogFormatterMathtext):
    """
    Format values following scientific notation in a logarithmic axis
            return (r'$\mathdefault{%g\times%s^{%d}}$') % \
                                        (coeff, base, exponent)


 class LogitFormatter(Formatter):
    """
    Probability formatter (using Math text).
        numdec = abs(vmax - vmin)

        if numdec > 3:
            # Label only bases
            sublabel = set((1,))
        elif numdec > 2:
            sublabel = set((1, 3))
        elif numdec > 1:
            sublabel = set((1, 2, 5))
        else:
            sublabel = set((1, 2, 4, 7))
            # Add labels between bases at log-spaced coefficients
            c = np.logspace(0, 1, (4 - int(numdec)) + 1, base=b)
            sublabel = set(np.round(c))

        label = np.ones(ticklocs.size, dtype=np.bool)
        for i, loc in enumerate(ticklocs):
            exponent = math.floor(math.log(abs(loc)) / math.log(b))
            coeff = loc / b ** nearest_long(exponent)
            if nearest_long(coeff) not in sublabel:
                label[i] = False
        fx = np.log(abs(ticklocs)) / np.log(b)
        exponents = np.array([np.round(x) if is_close_to_int(x)
                              else np.floor(x)
                              for x in fx])
        coeffs = np.round(ticklocs / b ** exponents)

        returnlabel
        return[c in sublabel for c in coeffs]

    def view_limits(self, vmin, vmax):
        'Try to choose the view limits intelligently'
Original file line number	Diff line number	Diff line change
Expand Up		@@ -910,6 +910,7 @@ def pprint_val(self, x, d):
		s = s.rstrip('0').rstrip('.')
		return s


		class LogFormatterExponent(LogFormatter):
		"""
		Format values for log axis using ``exponent = log_base(value)``.
Expand DownExpand Up		@@ -999,6 +1000,7 @@ def __call__(self, x, pos=None):
		'%s%s^{%d}' %
		(sign_string, base, nearest_long(fx))))


		class LogFormatterSciNotation(LogFormatterMathtext):
		"""
		Format values following scientific notation in a logarithmic axis
Expand All		@@ -1022,6 +1024,7 @@ def _non_decade_format(self, sign_string, base, fx, usetex):
		return (r'$\mathdefault{%g\times%s^{%d}}$') % \
		(coeff, base, exponent)


		class LogitFormatter(Formatter):
		"""
		Probability formatter (using Math text).
Expand DownExpand Up		@@ -1932,22 +1935,20 @@ def show_tick_label(self, ticklocs):
		numdec = abs(vmax - vmin)

		if numdec > 3:
		# Label only bases
		sublabel = set((1,))
		elif numdec > 2:
		sublabel = set((1, 3))
		elif numdec > 1:
		sublabel = set((1, 2, 5))
		else:
		sublabel = set((1, 2, 4, 7))
		# Add labels between bases at log-spaced coefficients
		c = np.logspace(0, 1, (4 - int(numdec)) + 1, base=b)
		sublabel = set(np.round(c))

		label = np.ones(ticklocs.size, dtype=np.bool)
		for i, loc in enumerate(ticklocs):
		exponent = math.floor(math.log(abs(loc)) / math.log(b))
		coeff = loc / b ** nearest_long(exponent)
		if nearest_long(coeff) not in sublabel:
		label[i] = False
		fx = np.log(abs(ticklocs)) / np.log(b)
		exponents = np.array([np.round(x) if is_close_to_int(x)
		else np.floor(x)
		for x in fx])
		coeffs = np.round(ticklocs / b ** exponents)

		returnlabel
		return[c in sublabel for c in coeffs]

		def view_limits(self, vmin, vmax):
		'Try to choose the view limits intelligently'
Expand Down